{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,13]],"date-time":"2024-09-13T19:14:34Z","timestamp":1726254874050},"publisher-location":"Cham","reference-count":96,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031477232"},{"type":"electronic","value":"9783031477249"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024]]},"DOI":"10.1007\/978-3-031-47724-9_32","type":"book-chapter","created":{"date-parts":[[2024,4,18]],"date-time":"2024-04-18T20:29:08Z","timestamp":1713472148000},"page":"477-502","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Emotion Detection from Real-Life Situations Based on Journal Entries Using Machine Learning and Deep Learning Techniques"],"prefix":"10.1007","author":[{"given":"Oladapo","family":"Oyebode","sequence":"first","affiliation":[]},{"given":"Ruth","family":"Ogubuike","sequence":"additional","affiliation":[]},{"given":"Darlington","family":"Daniel","sequence":"additional","affiliation":[]},{"given":"Rita","family":"Orji","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,4,19]]},"reference":[{"key":"32_CR1","doi-asserted-by":"publisher","DOI":"10.1016\/J.SOCSCIMED.2020.113263","volume":"263","author":"AR Anderson","year":"2020","unstructured":"Anderson, A.R., Fowers, B.J.: Lifestyle behaviors, psychological distress, and well-being: A daily diary study. Soc Sci Med 263, 113263 (2020). https:\/\/doi.org\/10.1016\/J.SOCSCIMED.2020.113263","journal-title":"Soc Sci Med"},{"key":"32_CR2","doi-asserted-by":"publisher","first-page":"655","DOI":"10.1037\/A0027448","volume":"138","author":"JK Boehm","year":"2012","unstructured":"Boehm, J.K., Kubzansky, L.D.: The heart\u2019s content: The association between positive psychological well-being and cardiovascular health. Psychol. Bull. 138, 655\u2013691 (2012). https:\/\/doi.org\/10.1037\/A0027448","journal-title":"Psychol. Bull."},{"key":"32_CR3","doi-asserted-by":"publisher","first-page":"215","DOI":"10.1111\/BJHP.12350","volume":"24","author":"G Nudelman","year":"2019","unstructured":"Nudelman, G., Kalish, Y., Shiloh, S.: The centrality of health behaviours: A network analytic approach. Br. J. Health Psychol. 24, 215\u2013236 (2019). https:\/\/doi.org\/10.1111\/BJHP.12350","journal-title":"Br. J. Health Psychol."},{"key":"32_CR4","doi-asserted-by":"publisher","first-page":"165","DOI":"10.1111\/J.1467-6494.1995.TB00806.X","volume":"63","author":"SC Bunce","year":"1995","unstructured":"Bunce, S.C., Larson, R.J., Peterson, C.: Life after Trauma: Personality and Daily Life Experiences of Traumatized People. J. Pers. 63, 165\u2013188 (1995). https:\/\/doi.org\/10.1111\/J.1467-6494.1995.TB00806.X","journal-title":"J. Pers."},{"key":"32_CR5","doi-asserted-by":"publisher","first-page":"521","DOI":"10.1002\/CNCR.10212","volume":"94","author":"JI Cameron","year":"2002","unstructured":"Cameron, J.I., et al.: Lifestyle interference and emotional distress in family caregivers of advanced cancer patients. Cancer 94, 521\u2013527 (2002). https:\/\/doi.org\/10.1002\/CNCR.10212","journal-title":"Cancer"},{"key":"32_CR6","doi-asserted-by":"publisher","unstructured":"Qin, F., Song, Y., Nassis, G.P., Zhao, L., Dong, Y., Zhao, C., Feng, Y., Zhao, J.: Physical Activity, Screen Time, and Emotional Well-Being during the 2019 Novel Coronavirus Outbreak in China. International Journal of Environmental Research and Public Health 2020, Vol. 17, Page 5170. 17, 5170 (2020). https:\/\/doi.org\/10.3390\/IJERPH17145170","DOI":"10.3390\/IJERPH17145170"},{"key":"32_CR7","doi-asserted-by":"publisher","DOI":"10.3389\/FPED.2021.660033","volume":"9","author":"MV Fasano","year":"2021","unstructured":"Fasano, M.V., Padula, M., Azrak, M.\u00c1., Avico, A.J., Sala, M., Andreoli, M.F.: Consequences of Lockdown During COVID-19 Pandemic in Lifestyle and Emotional State of Children in Argentina. Front. Pediatr. 9, 660033 (2021). https:\/\/doi.org\/10.3389\/FPED.2021.660033","journal-title":"Front. Pediatr."},{"key":"32_CR8","doi-asserted-by":"publisher","first-page":"1473925","DOI":"10.1155\/2019\/1473925","volume":"2019","author":"M Ziarko","year":"2019","unstructured":"Ziarko, M., et al.: Mental Health and Rheumatoid Arthritis: Toward Understanding the Emotional Status of People with Chronic Disease. Biomed. Res. Int. 2019, 1473925 (2019). https:\/\/doi.org\/10.1155\/2019\/1473925","journal-title":"Biomed. Res. Int."},{"key":"32_CR9","doi-asserted-by":"publisher","first-page":"151","DOI":"10.1111\/J.1468-2850.1995.TB00036.X","volume":"2","author":"JJ Gross","year":"1995","unstructured":"Gross, J.J., Mu\u00f1oz, R.F.: Emotion Regulation and Mental Health. Clin. Psychol. Sci. Pract. 2, 151\u2013164 (1995). https:\/\/doi.org\/10.1111\/J.1468-2850.1995.TB00036.X","journal-title":"Clin. Psychol. Sci. Pract."},{"key":"32_CR10","doi-asserted-by":"publisher","first-page":"110","DOI":"10.1037\/0003-066X.55.1.110","volume":"55","author":"P Salovey","year":"2000","unstructured":"Salovey, P., Rothman, A.J., Detweiler, J.B., Steward, W.T.: Emotional states and physical health. Am. Psychol. 55, 110\u2013121 (2000). https:\/\/doi.org\/10.1037\/0003-066X.55.1.110","journal-title":"Am. Psychol."},{"key":"32_CR11","doi-asserted-by":"publisher","first-page":"139","DOI":"10.1111\/J.1467-6494.2008.00541.X","volume":"77","author":"FL Philippe","year":"2009","unstructured":"Philippe, F.L., Lecours, S., Beaulieu-Pelletier, G.: Resilience and Positive Emotions: Examining the Role of Emotional Memories. J. Pers. 77, 139\u2013176 (2009). https:\/\/doi.org\/10.1111\/J.1467-6494.2008.00541.X","journal-title":"J. Pers."},{"key":"32_CR12","doi-asserted-by":"publisher","unstructured":"Natt och Dag, Y., Mehlig, K., Rosengren, A., Lissner, L., Rosvall, M.: Negative emotional states and negative life events: Consequences for cardiovascular health in a general population. J Psychosom Res. 129, 109888 (2020). https:\/\/doi.org\/10.1016\/J.JPSYCHORES.2019.109888","DOI":"10.1016\/J.JPSYCHORES.2019.109888"},{"key":"32_CR13","doi-asserted-by":"publisher","unstructured":"Boehm, J.K., Chen, Y., Qureshi, F., Soo, J., Umukoro, P., Hernandez, R., Lloyd-Jones, D., Kubzansky, L.D.: Positive emotions and favorable cardiovascular health: A 20-year longitudinal study. Prev Med (Baltim). 136, 106103 (2020). https:\/\/doi.org\/10.1016\/J.YPMED.2020.106103","DOI":"10.1016\/J.YPMED.2020.106103"},{"key":"32_CR14","doi-asserted-by":"publisher","unstructured":"Ching, C.L., Chan, V.L.: Positive emotions, positive feelings and health: A life philosophy. Linguistics and Culture Review. 4, 1\u201314 (2020). https:\/\/doi.org\/10.21744\/LINGCURE.V4N1.16","DOI":"10.21744\/LINGCURE.V4N1.16"},{"key":"32_CR15","doi-asserted-by":"publisher","first-page":"172","DOI":"10.1111\/1467-9280.00431","volume":"13","author":"BL Fredrickson","year":"2002","unstructured":"Fredrickson, B.L., Joiner, T.: Positive emotions trigger upward spirals toward emotional well-being. Psychol. Sci. 13, 172\u2013175 (2002). https:\/\/doi.org\/10.1111\/1467-9280.00431","journal-title":"Psychol. Sci."},{"key":"32_CR16","doi-asserted-by":"publisher","first-page":"145","DOI":"10.1002\/SMI.2589","volume":"32","author":"CT Gloria","year":"2016","unstructured":"Gloria, C.T., Steinhardt, M.A.: Relationships Among Positive Emotions, Coping, Resilience and Mental Health. Stress. Health 32, 145\u2013156 (2016). https:\/\/doi.org\/10.1002\/SMI.2589","journal-title":"Stress. Health"},{"key":"32_CR17","doi-asserted-by":"publisher","first-page":"220","DOI":"10.1016\/J.NEUBIOREV.2020.12.002","volume":"121","author":"R Alexander","year":"2021","unstructured":"Alexander, R., et al.: The neuroscience of positive emotions and affect: Implications for cultivating happiness and wellbeing. Neurosci. Biobehav. Rev. 121, 220\u2013249 (2021). https:\/\/doi.org\/10.1016\/J.NEUBIOREV.2020.12.002","journal-title":"Neurosci. Biobehav. Rev."},{"key":"32_CR18","doi-asserted-by":"publisher","first-page":"128","DOI":"10.1097\/YCO.0B013E3283503669","volume":"25","author":"M Berking","year":"2012","unstructured":"Berking, M., Wupperman, P.: Emotion regulation and mental health: Recent findings, current challenges, and future directions. Curr. Opin. Psychiatry 25, 128\u2013134 (2012). https:\/\/doi.org\/10.1097\/YCO.0B013E3283503669","journal-title":"Curr. Opin. Psychiatry"},{"key":"32_CR19","doi-asserted-by":"publisher","DOI":"10.1177\/13621688211036673","author":"T Schenker","year":"2021","unstructured":"Schenker, T.: Online journaling and language learning in intensive summer study abroad programs. Lang. Teach. Res. (2021). https:\/\/doi.org\/10.1177\/13621688211036673","journal-title":"Lang. Teach. Res."},{"key":"32_CR20","doi-asserted-by":"publisher","first-page":"597","DOI":"10.1002\/TRTR.1877","volume":"73","author":"S Portman","year":"2020","unstructured":"Portman, S.: Reflective Journaling: A Portal Into the Virtues of Daily Writing. Read. Teach. 73, 597\u2013602 (2020). https:\/\/doi.org\/10.1002\/TRTR.1877","journal-title":"Read. Teach."},{"key":"32_CR21","doi-asserted-by":"publisher","DOI":"10.1136\/FMCH-2021-001154","volume":"10","author":"M Sohal","year":"2022","unstructured":"Sohal, M., Singh, P., Dhillon, B.S., Gill, H.S.: Efficacy of journaling in the management of mental illness: a systematic review and meta-analysis. Fam Med Community Health. 10, e001154 (2022). https:\/\/doi.org\/10.1136\/FMCH-2021-001154","journal-title":"Fam Med Community Health."},{"key":"32_CR22","doi-asserted-by":"publisher","unstructured":"Keech, K.N., Coberly-Holt, P.G.: Journaling for Mental Health. Journaling for Mental Health. 39\u201344 (2021). https:\/\/doi.org\/10.4018\/978-1-7998-4477-8.CH005","DOI":"10.4018\/978-1-7998-4477-8.CH005"},{"key":"32_CR23","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1177\/104515950601700105","volume":"17","author":"CJ Boden","year":"2016","unstructured":"Boden, C.J., Cook, D., Lasker-Scott, T., Moore, S., Shelton, D.: Five Perspectives on Reflective Journaling. Adult Learning. 17, 11\u201315 (2016). https:\/\/doi.org\/10.1177\/104515950601700105","journal-title":"Adult Learning."},{"key":"32_CR24","doi-asserted-by":"publisher","first-page":"579","DOI":"10.1146\/ANNUREV.PSYCH.54.101601.145030","volume":"54","author":"N Bolger","year":"2003","unstructured":"Bolger, N., Davis, A., Rafaeli, E.: Diary Methods: Capturing Life as it is Lived. Annu. Rev. Psychol. 54, 579\u2013616 (2003). https:\/\/doi.org\/10.1146\/ANNUREV.PSYCH.54.101601.145030","journal-title":"Annu. Rev. Psychol."},{"key":"32_CR25","doi-asserted-by":"crossref","unstructured":"Alslaity, A., Chan, G., Orji, R., Wilson, R.: Insights From Longitudinal Evaluation of Moodie Mental Health App. In: CHI \u201922 EA: ACM CHI Conference on Human Factors in Computing Systems Extended Abstracts. p. 8 (2022)","DOI":"10.1145\/3491101.3519851"},{"key":"32_CR26","doi-asserted-by":"crossref","unstructured":"Mostafa, M., el Bolock, A., Abdennadher, S.: Automatic Detection and Classification of Cognitive Distortions in Journaling Text. In: Proceedings of the 17th International Conference on Web Information Systems and Technologies - WEBIST. pp. 444\u2013452. Scitepress (2021)","DOI":"10.5220\/0010713000003058"},{"key":"32_CR27","doi-asserted-by":"crossref","unstructured":"Nayak, K., Krishna, S., Tran, K., Harris, M., Barrera, A.M., Coble, K., Kulkarni, A.: Using Text Analytics on Reflective Journaling to Identify Cultural Capitals for STEM Students. In: Proceedings - 19th IEEE International Conference on Machine Learning and Applications, ICMLA 2020. pp. 797\u2013804. Institute of Electrical and Electronics Engineers Inc. (2020)","DOI":"10.1109\/ICMLA51294.2020.00130"},{"key":"32_CR28","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2022.3149862","author":"A Oduntan","year":"2022","unstructured":"Oduntan, A., Oyebode, O., Beltran, A.H., Fowles, J., Steeves, D., Orji, R.: I Let Depression and Anxiety Drown Me: Identifying Factors Associated with Resilience Based on Journaling using Machine Learning and Thematic Analysis. IEEE J. Biomed. Health Inform. (2022). https:\/\/doi.org\/10.1109\/JBHI.2022.3149862","journal-title":"IEEE J. Biomed. Health Inform."},{"key":"32_CR29","doi-asserted-by":"publisher","first-page":"169","DOI":"10.1080\/02699939208411068","volume":"6","author":"P Ekman","year":"1992","unstructured":"Ekman, P.: An argument for basic emotions. Cogn. Emot. 6, 169\u2013200 (1992). https:\/\/doi.org\/10.1080\/02699939208411068","journal-title":"Cogn. Emot."},{"key":"32_CR30","doi-asserted-by":"publisher","first-page":"423","DOI":"10.1007\/978-981-13-7166-0_42","volume":"933","author":"D Seal","year":"2020","unstructured":"Seal, D., Roy, U.K., Basak, R.: Sentence-Level Emotion Detection from Text Based on Semantic Rules. Adv. Intell. Syst. Comput. 933, 423\u2013430 (2020). https:\/\/doi.org\/10.1007\/978-981-13-7166-0_42","journal-title":"Adv. Intell. Syst. Comput."},{"key":"32_CR31","doi-asserted-by":"publisher","unstructured":"Tiwari, S.P., Raju, M.V., Phonsa, G., Deepu, D.K.: A Novel Approach for Detecting Emotion in Text. Indian J Sci Technol. 9, 1\u20135 (2016). https:\/\/doi.org\/10.17485\/IJST\/2016\/V9I29\/132198","DOI":"10.17485\/IJST\/2016\/V9I29\/132198"},{"key":"32_CR32","doi-asserted-by":"crossref","unstructured":"Chaffar, S., Inkpen, D.: Using a Heterogeneous Dataset for Emotion Analysis in Text. In: Canadian Conference on Artificial Intelligence. pp. 62\u201367. Springer, Berlin, Heidelberg (2011)","DOI":"10.1007\/978-3-642-21043-3_8"},{"key":"32_CR33","doi-asserted-by":"crossref","unstructured":"Kepplinger, D., Wallner, G., Kriglstein, S., Lankes, M.: See, Feel, Move\u2014Player Behaviour Analysis through Combined Visualization of Gaze, Emotions, and Movement. In: CHI \u201920: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. pp. 1\u201314. ACM, New York, NY, USA (2020)","DOI":"10.1145\/3313831.3376401"},{"key":"32_CR34","doi-asserted-by":"crossref","unstructured":"Desai, R., Anderson, F., Matejka, J., Coros, S., McCann, J., Fitzmaurice, G., Grossman, T.: Geppeto: Enabling semantic design of expressive robot behaviors. In: CHI \u201919: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems. pp. 1\u201314. Association for Computing Machinery (2019)","DOI":"10.1145\/3290605.3300599"},{"key":"32_CR35","doi-asserted-by":"crossref","unstructured":"Narducci, F., de Gemmis, M., Lops, P.: A General Architecture for an Emotion-Aware Content-Based Recommender System. In: Proceedings of the 3rd Workshop on Emotions and Personality in Personalized Systems 2015. pp. 3\u20136. Association for Computing Machinery, New York, NY, USA (2015)","DOI":"10.1145\/2809643.2809648"},{"key":"32_CR36","doi-asserted-by":"crossref","unstructured":"Niculescu, A.I., Kukanov, I., Wadhwa, B.: DigiMo-towards developing an emotional intelligent chatbot in Singapore. In: AsianCHI \u201920: Proceedings of the 2020 Symposium on Emerging Research from Asia and on Asian Contexts and Cultures. pp. 29\u201332. Association for Computing Machinery (2020)","DOI":"10.1145\/3391203.3391210"},{"key":"32_CR37","doi-asserted-by":"crossref","unstructured":"Shahid, S., Erven, B., Krahmer, E.: Acted Emotional Expressions of Game-playing Children: Investigating the Influence of Emotion Intensity on Recognition Rates. In: CHI EA \u201913: CHI \u201913 Extended Abstracts on Human Factors in Computing Systems. pp. 1053\u20131058. Association for Computing Machinery (2013)","DOI":"10.1145\/2468356.2468544"},{"key":"32_CR38","unstructured":"Sas, C., Zhang, C.: Investigating Emotions in Creative Design. In: DESIRE \u201910: Proceedings of the 1st DESIRE Network Conference on Creativity and Innovation in Design. pp. 138\u2013149 (2010)"},{"key":"32_CR39","unstructured":"Ekman, P., Ekman, E.: Atlas of Emotions, http:\/\/atlasofemotions.org\/#continents"},{"key":"32_CR40","doi-asserted-by":"publisher","first-page":"310","DOI":"10.1037\/0022-3514.66.2.310","volume":"66","author":"KR Scherer","year":"1994","unstructured":"Scherer, K.R., Wallbott, H.G.: Evidence for Universality and Cultural Variation of Differential Emotion Response Patterning. J. Pers. Soc. Psychol. 66, 310\u2013328 (1994). https:\/\/doi.org\/10.1037\/0022-3514.66.2.310","journal-title":"J. Pers. Soc. Psychol."},{"key":"32_CR41","unstructured":"Swiss Center For Affective Sciences (University of Geneva): Research Material, https:\/\/www.unige.ch\/cisa\/research\/materials-and-online-research\/research-material\/"},{"key":"32_CR42","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/S13278-021-00776-6\/FIGURES\/5","volume":"11","author":"P Nandwani","year":"2021","unstructured":"Nandwani, P., Verma, R.: A review on sentiment analysis and emotion detection from text. Soc. Netw. Anal. Min. 11, 1\u201319 (2021). https:\/\/doi.org\/10.1007\/S13278-021-00776-6\/FIGURES\/5","journal-title":"Soc. Netw. Anal. Min."},{"key":"32_CR43","first-page":"16","volume":"98","author":"P Ekman","year":"1999","unstructured":"Ekman, P.: Basic emotions. Handbook of cognition and emotion. 98, 16 (1999)","journal-title":"Handbook of cognition and emotion."},{"key":"32_CR44","doi-asserted-by":"publisher","first-page":"529","DOI":"10.1177\/053901882021004003","volume":"21","author":"R Plutchik","year":"1982","unstructured":"Plutchik, R.: A psychoevolutionary theory of emotions. Soc. Sci. Inf. 21, 529\u2013553 (1982). https:\/\/doi.org\/10.1177\/053901882021004003","journal-title":"Soc. Sci. Inf."},{"key":"32_CR45","doi-asserted-by":"crossref","unstructured":"Plutchik, R.: A General Psychoevolutionary Theory of Emotion. In: Theories of Emotion. pp. 3\u201333. Academic Press (1980)","DOI":"10.1016\/B978-0-12-558701-3.50007-7"},{"key":"32_CR46","unstructured":"Ortony, A., Clore, G.L., Collins, A.: The cognitive structure of emotions. Cambridge university press (1990)"},{"key":"32_CR47","unstructured":"Parrott, W.G.: Emotions in social psychology: Essential readings. psychology press (2001)"},{"key":"32_CR48","doi-asserted-by":"publisher","DOI":"10.1002\/ENG2.12189","volume":"2","author":"FA Acheampong","year":"2020","unstructured":"Acheampong, F.A., Wenyu, C., Nunoo-Mensah, H.: Text-based emotion detection: Advances, challenges, and opportunities. Engineering Reports. 2, e12189 (2020). https:\/\/doi.org\/10.1002\/ENG2.12189","journal-title":"Engineering Reports."},{"key":"32_CR49","doi-asserted-by":"publisher","unstructured":"Madhuri, S., Lakshmi, S.V.: Detecting Emotion from Natural Language Text Using Hybrid and NLP Pre-trained Models. Turkish Journal of Computer and Mathematics Education (TURCOMAT). 12, 4095\u20134103 (2021). https:\/\/doi.org\/10.17762\/TURCOMAT.V12I10.5122","DOI":"10.17762\/TURCOMAT.V12I10.5122"},{"key":"32_CR50","unstructured":"Strapparava, C., Valitutti, A., others: Wordnet affect: an affective extension of wordnet. In: Lrec. p. 40 (2004)"},{"key":"32_CR51","unstructured":"Mohammad, S., Turney, P.: Emotions evoked by common words and phrases: Using mechanical turk to create an emotion lexicon. In: Proceedings of the NAACL HLT 2010 workshop on computational approaches to analysis and generation of emotion in text. pp. 26\u201334 (2010)"},{"key":"32_CR52","doi-asserted-by":"crossref","unstructured":"Staiano, J., Guerini, M.: DepecheMood: a Lexicon for Emotion Analysis from Crowd-Annotated News. In: 52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014 - Proceedings of the Conference. pp. 427\u2013433. Association for Computational Linguistics (ACL) (2014)","DOI":"10.3115\/v1\/P14-2070"},{"key":"32_CR53","doi-asserted-by":"publisher","first-page":"108","DOI":"10.1016\/J.KNOSYS.2014.06.011","volume":"69","author":"S Poria","year":"2014","unstructured":"Poria, S., Gelbukh, A., Cambria, E., Hussain, A., Huang, G.: Bin: EmoSenticSpace: A novel framework for affective common-sense reasoning. Knowl Based Syst. 69, 108\u2013123 (2014). https:\/\/doi.org\/10.1016\/J.KNOSYS.2014.06.011","journal-title":"Knowl Based Syst."},{"key":"32_CR54","doi-asserted-by":"publisher","unstructured":"Poria, S., Hussain, A., Cambria, E.: EmoSenticSpace: Dense Concept-Based Affective Features with Common-Sense Knowledge. Multimodal Sentiment Analysis. 85\u2013116 (2018). https:\/\/doi.org\/10.1007\/978-3-319-95020-4_5","DOI":"10.1007\/978-3-319-95020-4_5"},{"key":"32_CR55","unstructured":"Baccianella, S., Esuli, A., Sebastiani, F.: SENTIWORDNET 3.0: An Enhanced Lexical Resource for Sentiment Analysis and Opinion Mining. Proceedings of LREC. 10, 2200\u20132204 (2010)."},{"key":"32_CR56","doi-asserted-by":"publisher","unstructured":"Tiwari, S.P., Raju, M.V., Phonsa, G., Deepu, D.K.: A Novel Approach for Detecting Emotion in Text. Indian J Sci Technol. 9, (2016). https:\/\/doi.org\/10.17485\/IJST\/2016\/V9I29\/132198","DOI":"10.17485\/IJST\/2016\/V9I29\/132198"},{"key":"32_CR57","doi-asserted-by":"crossref","unstructured":"Ku\u0161en, E., Cascavilla, G., Figl, K., Conti, M., Strembeck, M.: Identifying emotions in social media: Comparison of word-emotion lexicons. In: Proceedings - 2017 5th International Conference on Future Internet of Things and Cloud Workshops, W-FiCloud 2017. pp. 132\u2013137. Institute of Electrical and Electronics Engineers Inc. (2017)","DOI":"10.1109\/FiCloudW.2017.75"},{"key":"32_CR58","doi-asserted-by":"crossref","unstructured":"Badugu, S., Suhasini, M.: Emotion detection on twitter data using knowledge base approach. Int J Comput Appl. 162, (2017)","DOI":"10.5120\/ijca2017913366"},{"key":"32_CR59","doi-asserted-by":"crossref","unstructured":"Rabeya, T., Ferdous, S., Ali, H.S., Chakraborty, N.R.: A survey on emotion detection: A lexicon based backtracking approach for detecting emotion from Bengali text. In: 20th International Conference of Computer and Information Technology, ICCIT 2017. pp. 1\u20137. Institute of Electrical and Electronics Engineers Inc. (2018)","DOI":"10.1109\/ICCITECHN.2017.8281855"},{"key":"32_CR60","doi-asserted-by":"crossref","unstructured":"Sharupa, N.A., Rahman, M., Alvi, N., Raihan, M., Islam, A., Raihan, T.: Emotion Detection of Twitter Post using Multinomial Naive Bayes. In: 2020 11th International Conference on Computing, Communication and Networking Technologies, ICCCNT 2020. pp. 1\u20136. Institute of Electrical and Electronics Engineers Inc. (2020)","DOI":"10.1109\/ICCCNT49239.2020.9225432"},{"key":"32_CR61","doi-asserted-by":"publisher","first-page":"637","DOI":"10.1016\/J.PROCS.2021.06.075","volume":"190","author":"A Sboev","year":"2021","unstructured":"Sboev, A., Naumov, A., Rybka, R.: Data-Driven Model for Emotion Detection in Russian Texts. Procedia Comput Sci. 190, 637\u2013642 (2021). https:\/\/doi.org\/10.1016\/J.PROCS.2021.06.075","journal-title":"Procedia Comput Sci."},{"key":"32_CR62","doi-asserted-by":"publisher","first-page":"565","DOI":"10.1007\/978-981-15-1097-7_47","volume":"1079","author":"M Suhasini","year":"2020","unstructured":"Suhasini, M., Srinivasu, B.: Emotion Detection Framework for Twitter Data Using Supervised Classifiers. Adv. Intell. Syst. Comput. 1079, 565\u2013576 (2020). https:\/\/doi.org\/10.1007\/978-981-15-1097-7_47","journal-title":"Adv. Intell. Syst. Comput."},{"key":"32_CR63","doi-asserted-by":"crossref","unstructured":"Majeed, A., Mujtaba, H., Beg, M.O.: Emotion detection in roman urdu text using machine learning. In: Proceedings - 2020 35th IEEE\/ACM International Conference on Automated Software Engineering Workshops, ASEW 2020. pp. 125\u2013130. Institute of Electrical and Electronics Engineers Inc. (2020)","DOI":"10.1145\/3417113.3423375"},{"key":"32_CR64","doi-asserted-by":"crossref","unstructured":"Rashid, U., Iqbal, M.W., Skiandar, M.A., Raiz, M.Q., Naqvi, M.R., Shahzad, S.K.: Emotion Detection of Contextual Text using Deep learning. In: 4th International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2020 - Proceedings. pp. 1\u20135. Institute of Electrical and Electronics Engineers Inc. (2020)","DOI":"10.1109\/ISMSIT50672.2020.9255279"},{"key":"32_CR65","doi-asserted-by":"publisher","unstructured":"Wang, Z.: Text Emotion Detection Based on Bi- LSTM Network. Academic Journal of Computing & Information Science. 3, 129\u2013137 (2020). https:\/\/doi.org\/10.25236\/AJCIS.2020.030314","DOI":"10.25236\/AJCIS.2020.030314"},{"key":"32_CR66","doi-asserted-by":"crossref","unstructured":"Nasir, A.F.Ab., Nee, E.S., Choong, C.S., Abdul Ghani, A.S., Abdul Majeed, A.P.P., Adam, A., Furqan, M.: Text-based emotion prediction system using machine learning approach. In: 6th International Conference on Software Engineering & Computer Systems. p. 012022. IOP Publishing, Pahang, Malaysia (2020)","DOI":"10.1088\/1757-899X\/769\/1\/012022"},{"key":"32_CR67","doi-asserted-by":"crossref","unstructured":"Al-Omari, H., Abdullah, M.A., Shaikh, S.: EmoDet2: Emotion Detection in English Textual Dialogue using BERT and BiLSTM Models. In: 2020 11th International Conference on Information and Communication Systems, ICICS 2020. pp. 226\u2013232. Institute of Electrical and Electronics Engineers Inc. (2020)","DOI":"10.1109\/ICICS49469.2020.239539"},{"key":"32_CR68","doi-asserted-by":"crossref","unstructured":"Ma, L., Zhang, L., Ye, W., Hu, W.: PKUSE at SemEval-2019 Task 3: Emotion Detection with Emotion-Oriented Neural Attention Network. In: International Workshop on Semantic Evaluation, SemEval 2019. pp. 287\u2013291. Association for Computational Linguistics (ACL) (2019)","DOI":"10.18653\/v1\/S19-2049"},{"key":"32_CR69","unstructured":"Ragheb, W., Az\u00e9, J., Bringay, S., Servajean, M.: Attention-based Modeling for Emotion Detection and Classification in Textual Conversations. In: 2nd Workshop on Humanizing AI (HAI). pp. 1\u20135. , Macao, China (2019)"},{"key":"32_CR70","doi-asserted-by":"publisher","first-page":"181074","DOI":"10.1109\/ACCESS.2020.3027350","volume":"8","author":"AS Imran","year":"2020","unstructured":"Imran, A.S., Daudpota, S.M., Kastrati, Z., Batra, R.: Cross-cultural polarity and emotion detection using sentiment analysis and deep learning on covid-19 related tweets. IEEE Access. 8, 181074\u2013181090 (2020). https:\/\/doi.org\/10.1109\/ACCESS.2020.3027350","journal-title":"IEEE Access."},{"key":"32_CR71","doi-asserted-by":"crossref","unstructured":"Huang, J., Lin, Z., Liu, X.: Episodic Memory Network with Self-attention for Emotion Detection. In: International Conference on Database Systems for Advanced Applications. pp. 220\u2013224. Springer Verlag (2019)","DOI":"10.1007\/978-3-030-18590-9_16"},{"key":"32_CR72","doi-asserted-by":"publisher","first-page":"544","DOI":"10.1136\/AMIAJNL-2011-000464","volume":"18","author":"PM Nadkarni","year":"2011","unstructured":"Nadkarni, P.M., Ohno-Machado, L., Chapman, W.W.: Natural language processing: an introduction. J. Am. Med. Inform. Assoc. 18, 544\u2013551 (2011). https:\/\/doi.org\/10.1136\/AMIAJNL-2011-000464","journal-title":"J. Am. Med. Inform. Assoc."},{"key":"32_CR73","unstructured":"Data Augmentation for Machine Learning, https:\/\/www.akkio.com\/data-augmentation-for-machine-learning"},{"key":"32_CR74","unstructured":"Bird, S., Klein, E., Loper, E.: Natural language processing with Python: analyzing text with the natural language toolkit. O\u2019Reilly Media, Inc. (2009)"},{"key":"32_CR75","unstructured":"pyspellchecker \u2014 pyspellchecker 0.6.3 documentation, https:\/\/pyspellchecker.readthedocs.io\/en\/latest\/"},{"key":"32_CR76","doi-asserted-by":"crossref","unstructured":"Pisner, D.A., Schnyer, D.M.: Support vector machine. In: Machine Learning: Methods and Applications to Brain Disorders. pp. 101\u2013121. Academic Press (2020)","DOI":"10.1016\/B978-0-12-815739-8.00006-7"},{"key":"32_CR77","unstructured":"Russell, S., Norvig, P.: Artificial Intelligence, Global Edition A Modern Approach. Pearson Deutschland (2021)"},{"key":"32_CR78","doi-asserted-by":"crossref","unstructured":"Ray, S.: A Quick Review of Machine Learning Algorithms. In: Proceedings of the International Conference on Machine Learning, Big Data, Cloud and Parallel Computing: Trends, Prespectives and Prospects, COMITCon 2019. pp. 35\u201339. Institute of Electrical and Electronics Engineers Inc. (2019)","DOI":"10.1109\/COMITCon.2019.8862451"},{"key":"32_CR79","doi-asserted-by":"publisher","DOI":"10.1016\/B978-0-12-809633-8.20473-1","volume-title":"Bayes\u2019 theorem and naive Bayes classifier","author":"D Berrar","year":"2019","unstructured":"Berrar, D.: Bayes\u2019 theorem and naive Bayes classifier. Elsevier Science Publisher, Amsterdam, The Netherlands (2019)"},{"key":"32_CR80","unstructured":"Rennie, J.D., Shih, L., Teevan, J., Karger, D.R.: Tackling the poor assumptions of naive bayes text classifiers. In: Proceedings of the 20th international conference on machine learning (ICML-03). pp. 616\u2013623 (2003)"},{"key":"32_CR81","doi-asserted-by":"publisher","unstructured":"Haykin, S.: Neural Networks: A Guided Tour. Soft Computing and Intelligent Systems. 71\u201380 (2000). https:\/\/doi.org\/10.1016\/B978-012646490-0\/50007-X","DOI":"10.1016\/B978-012646490-0\/50007-X"},{"key":"32_CR82","doi-asserted-by":"publisher","unstructured":"Zhou, Z.-H.: Ensemble Learning. Mach Learn. 181\u2013210 (2021). https:\/\/doi.org\/10.1007\/978-981-15-1967-3_8","DOI":"10.1007\/978-981-15-1967-3_8"},{"key":"32_CR83","unstructured":"Juan Ramos: Using TF-IDF to determine word relevance in document queries. In: Proceedings of the first instructional conference on machine learning. pp. 133\u2013142 (2003)"},{"key":"32_CR84","doi-asserted-by":"publisher","unstructured":"Lecun, Y., Bengio, Y., Hinton, G.: Deep learning. Nature 2015 521:7553. 521, 436\u2013444 (2015). https:\/\/doi.org\/10.1038\/nature14539","DOI":"10.1038\/nature14539"},{"key":"32_CR85","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3439726","volume":"54","author":"S Minaee","year":"2021","unstructured":"Minaee, S., Kalchbrenner, N., Cambria, E., Nikzad, N., Chenaghlu, M., Gao, J.: Deep Learning-based Text Classification. ACM Computing Surveys (CSUR). 54, 1\u201340 (2021). https:\/\/doi.org\/10.1145\/3439726","journal-title":"ACM Computing Surveys (CSUR)."},{"key":"32_CR86","doi-asserted-by":"crossref","unstructured":"Graves, A.: Long Short-Term Memory. In: Supervised Sequence Labelling with Recurrent Neural Networks. pp. 37\u201345. Springer, Berlin, Heidelberg (2012)","DOI":"10.1007\/978-3-642-24797-2_4"},{"key":"32_CR87","doi-asserted-by":"crossref","unstructured":"Behera, B., Kumaravelan, G., Kumar, P.: Performance evaluation of deep learning algorithms in biomedical document classification. In: Proceedings of the 11th International Conference on Advanced Computing, ICoAC 2019. pp. 220\u2013224. Institute of Electrical and Electronics Engineers Inc. (2019)","DOI":"10.1109\/ICoAC48765.2019.246843"},{"key":"32_CR88","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511921803","volume-title":"Evaluating Learning Algorithms: A Classification Perspective","author":"N Japkowicz","year":"2011","unstructured":"Japkowicz, N., Shah, M.: Evaluating Learning Algorithms: A Classification Perspective. Cambridge University Press, New York, USA (2011)"},{"key":"32_CR89","doi-asserted-by":"crossref","unstructured":"Shaaban, Y., Korashy, H., Medhat, W.: Emotion Detection using Deep Learning. In: 2021 16th International Conference on Computer Engineering and Systems (ICCES). pp. 1\u201310. Institute of Electrical and Electronics Engineers (IEEE) (2022)","DOI":"10.1109\/ICCES54031.2021.9686108"},{"key":"32_CR90","doi-asserted-by":"publisher","unstructured":"Asghar, M.Z., Subhan, F., Imran, M., Kundi, F.M., Shamshirband, S., Mosavi, A., Csiba, P., Varkonyi-Koczy, A.R.: Performance Evaluation of Supervised Machine Learning Techniques for Efficient Detection of Emotions from Online Content. Computers, Materials and Continua. 63, 1093\u20131118 (2019). https:\/\/doi.org\/10.20944\/preprints201908.0019.v1","DOI":"10.20944\/preprints201908.0019.v1"},{"key":"32_CR91","unstructured":"Mihalcea, R., Liu, H.: A Corpus-based Approach to Finding Happiness. In: AAAI Spring Symposium: Computational Approaches to Analyzing Weblogs. pp. 139\u2013144 (2006)"},{"key":"32_CR92","doi-asserted-by":"crossref","unstructured":"Adoma, A.F., Henry, N.M., Chen, W.: Comparative Analyses of Bert, Roberta, Distilbert, and Xlnet for Text-Based Emotion Recognition. In: 2020 17th International Computer Conference on Wavelet Active Media Technology and Information Processing, ICCWAMTIP 2020. pp. 117\u2013121. Institute of Electrical and Electronics Engineers Inc. (2020)","DOI":"10.1109\/ICCWAMTIP51612.2020.9317379"},{"key":"32_CR93","doi-asserted-by":"crossref","unstructured":"Dobsa, J., Sebalj, D., Buzic, D.: Classification of Emotions Based on Text and Qualitative Variables. In: 2021 44th International Convention on Information, Communication and Electronic Technology, MIPRO 2021 - Proceedings. pp. 383\u2013388. Institute of Electrical and Electronics Engineers Inc. (2021)","DOI":"10.23919\/MIPRO52101.2021.9596747"},{"key":"32_CR94","doi-asserted-by":"publisher","unstructured":"Guinle, M.I.B., Sinha, R.: The Role of Stress, Trauma, and Negative Affect in Alcohol Misuse and Alcohol Use Disorder in Women. Alcohol Res. 40, 1\u201317 (2020). https:\/\/doi.org\/10.35946\/ARCR.V40.2.05","DOI":"10.35946\/ARCR.V40.2.05"},{"key":"32_CR95","doi-asserted-by":"publisher","first-page":"221","DOI":"10.1037\/ADB0000457","volume":"33","author":"KE Bountress","year":"2019","unstructured":"Bountress, K.E., et al.: Alcohol Consumption, Interpersonal Trauma, and Drinking to Cope with Trauma-Related Distress: An Auto-Regressive. Cross-Lagged Model. Psychology of addictive behaviors. 33, 221\u2013231 (2019). https:\/\/doi.org\/10.1037\/ADB0000457","journal-title":"Cross-Lagged Model. Psychology of addictive behaviors."},{"key":"32_CR96","doi-asserted-by":"publisher","unstructured":"Iranpour, A., Nakhaee, N.: A Review of Alcohol-Related Harms: A Recent Update. Addiction & Health. 11, 137 (2019). https:\/\/doi.org\/10.22122\/AHJ.V11I2.225","DOI":"10.22122\/AHJ.V11I2.225"}],"container-title":["Lecture Notes in Networks and Systems","Intelligent Systems and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-47724-9_32","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,4,18]],"date-time":"2024-04-18T20:39:00Z","timestamp":1713472740000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-47724-9_32"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031477232","9783031477249"],"references-count":96,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-47724-9_32","relation":{},"ISSN":["2367-3370","2367-3389"],"issn-type":[{"type":"print","value":"2367-3370"},{"type":"electronic","value":"2367-3389"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"19 April 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}