Analiza razpoloženja (Slovenian Wikipedia)

Analysis of information sources in references of the Wikipedia article "Analiza razpoloženja" in Slovenian language version.

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30doi.org

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10web.archive.org

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8worldcat.org

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7nih.gov

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5psu.edu

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4arxiv.org

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4cornell.edu

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3harvard.edu

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3uic.edu

5,752^nd place

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3acm.org

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2aaai.org

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2semanticscholar.org

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2springer.com

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1mit.edu

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1datumbox.com

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1researchgate.net

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1wlv.ac.uk

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1unt.edu

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1leeds.ac.uk

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1archive.org

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1nowpublishers.com

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1sentic.net

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1ieee.org

652^nd place

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1morganclaypool.com

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1northwestern.edu

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1indiana.edu

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1upenn.edu

702^nd place

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1visual-sentiment-ontology.appspot.com

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1paragonpoll.com

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1google.com

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1mashable.com

561^st place

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1books.google.com

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1diva-portal.org

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1nytimes.com

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1humanele.com

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1readwrite.com

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1europa.eu

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1newscientist.com

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1yorku.ca

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1dcu.ie

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aaai.org

Riloff, Ellen; Jones, Rosie (Julij 1999). »Learning dictionaries for information extraction by multi-level bootstrapping« (PDF). AAAI '99/IAAI '99: Proceedings of the Sixteenth National Conference on Artificial Intelligence and the Eleventh Innovative Applications of Artificial Intelligence Conference Innovative Applications of Artificial Intelligence: 474–479.
Tumasjan, Andranik; O.Sprenger, Timm; G.Sandner, Philipp; M.Welpe, Isabell (2010). "Predicting Elections with Twitter: What 140 Characters Reveal about Political Sentiment" Arhivirano 2020-12-12 na Wayback Machine.. "Proceedings of the Fourth International AAAI Conference on Weblogs and Social Media"

acm.org

portal.acm.org

Dey, Lipika; Haque, S. K. Mirajul (2008). Opinion Mining from Noisy Text Data.
Akcora, Cuneyt Gurcan; Bayir, Murat Ali; Demirbas, Murat; Ferhatosmanoglu, Hakan (2010). Identifying breakpoints in public opinion.

dl.acm.org

Taboada, Maite; Brooke, Julian (2011). »Lexicon-based methods for sentiment analysis«. Computational Linguistics. 37 (2): 272–274. CiteSeerX 10.1.1.188.5517. doi:10.1162/coli_a_00049.

archive.org

Quirk, Randolph; Greenbaum, Sidney; Geoffrey, Leech; Jan, Svartvik (1985). A Comprehensive Grammar of the English Language (General Grammar). Longman. str. 175–239. ISBN 1933108312.

arxiv.org

Turney, Peter (2002). Thumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of Reviews. str. 417–424. arXiv:cs.LG/0212032.
Titov, Ivan; McDonald, Ryan (1. januar 2008). Modeling Online Reviews with Multi-grain Topic Models. Proceedings of the 17th International Conference on World Wide Web. WWW '08. New York, NY, USA: ACM. str. 111–120. arXiv:0801.1063. doi:10.1145/1367497.1367513. ISBN 978-1-60558-085-2.
Mozetič, Igor; Grčar, Miha; Smailović, Jasmina (5. maj 2016). »Multilingual Twitter Sentiment Classification: The Role of Human Annotators«. PLOS ONE. 11 (5): e0155036. arXiv:1602.07563. Bibcode:2016PLoSO..1155036M. doi:10.1371/journal.pone.0155036. ISSN 1932-6203. PMC 4858191. PMID 27149621.
Wood, Ian B.; Varela, Pedro L.; Bollen, Johan; Rocha, Luis M.; Gonçalves-Sá, Joana (2017). »Human Sexual Cycles are Driven by Culture and Match Collective Moods«. Scientific Reports. 7 (1): 17973. arXiv:1707.03959. Bibcode:2017NatSR...717973W. doi:10.1038/s41598-017-18262-5. PMC 5740080. PMID 29269945.

books.google.com

Roebuck, K. (24. oktober 2012). Sentiment Analysis: High-impact Strategies - What You Need to Know: Definitions, Adoptions, Impact, Benefits, Maturity, Vendors. ISBN 9781743049457.^{[mrtva povezava]}

cornell.edu

cs.cornell.edu

Pang, Bo; Lee, Lillian; Vaithyanathan, Shivakumar (2002). Thumbs up? Sentiment Classification using Machine Learning Techniques. str. 79–86.
Pang, Bo; Lee, Lillian (2005). Seeing stars: Exploiting class relationships for sentiment categorization with respect to rating scales. str. 115–124.
Pang, Bo; Lee, Lillian (2008). »4.1.2 Subjectivity Detection and Opinion Identification«. Opinion Mining and Sentiment Analysis. Now Publishers Inc.
Pang, Bo; Lee, Lillian (2004). A Sentimental Education: Sentiment Analysis Using Subjectivity Summarization Based on Minimum Cuts. str. 271–278.

datumbox.com

blog.datumbox.com

Vryniotis, Vasilis (2013). The importance of Neutral Class in Sentiment Analysis.

dcu.ie

doras.dcu.ie

Bermingham, Adam; Smeaton, Alan F. (2010). Classifying sentiment in microblogs: is brevity an advantage? (PDF). Proceedings of the 19th ACM International Conference on Information and Knowledge Management. str. 1833. doi:10.1145/1871437.1871741. ISBN 9781450300995.

diva-portal.org

Karlgren, Jussi. "Affect, appeal, and sentiment as factors influencing interaction with multimedia information." In Proceedings of Theseus/ImageCLEF workshop on visual information retrieval evaluation, pp. 8-11. 2009.

doi.org

Taboada, Maite; Brooke, Julian (2011). »Lexicon-based methods for sentiment analysis«. Computational Linguistics. 37 (2): 272–274. CiteSeerX 10.1.1.188.5517. doi:10.1162/coli_a_00049.
Augustyniak, Łukasz; Szymański, Piotr; Kajdanowicz, Tomasz; Tuligłowicz, Włodzimierz (25. december 2015). »Comprehensive Study on Lexicon-based Ensemble Classification Sentiment Analysis«. Entropy (v angleščini). 18 (1): 4. Bibcode:2015Entrp..18....4A. doi:10.3390/e18010004.
Mehmood, Yasir; Balakrishnan, Vimala (1. januar 2020). »An enhanced lexicon-based approach for sentiment analysis: a case study on illegal immigration«. Online Information Review. 44 (5): 1097–1117. doi:10.1108/OIR-10-2018-0295. ISSN 1468-4527.
Thelwall, Mike; Buckley, Kevan; Paltoglou, Georgios; Cai, Di; Kappas, Arvid (2010). »Sentiment strength detection in short informal text«. Journal of the American Society for Information Science and Technology. 61 (12): 2544–2558. CiteSeerX 10.1.1.278.3863. doi:10.1002/asi.21416. Arhivirano iz prvotnega spletišča dne 1. februarja 2021. Pridobljeno 26. januarja 2021.
Wiebe, Janyce; Riloff, Ellen (2005). Gelbukh, Alexander (ur.). »Creating Subjective and Objective Sentence Classifiers from Unannotated Texts«. Computational Linguistics and Intelligent Text Processing. Lecture Notes in Computer Science (v angleščini). Berlin, Heidelberg: Springer. 3406: 486–497. doi:10.1007/978-3-540-30586-6_53. ISBN 978-3-540-30586-6.
Pang, Bo; Lee, Lillian (6. julij 2008). »Opinion Mining and Sentiment Analysis«. Foundations and Trends in Information Retrieval (v angleščini). 2 (1–2): 1–135. doi:10.1561/1500000011. ISSN 1554-0669.
Riloff, Ellen; Wiebe, Janyce (11. julij 2003). »Learning extraction patterns for subjective expressions«. Proceedings of the 2003 Conference on Empirical Methods in Natural Language Processing. EMNLP '03. USA: Association for Computational Linguistics. 10: 105–112. doi:10.3115/1119355.1119369.
Chaturvedi, Iti; Cambria, Erik; Welsch, Roy E.; Herrera, Francisco (november 2018). »Distinguishing between facts and opinions for sentiment analysis: Survey and challenges« (PDF). Information Fusion. 44: 65–77. doi:10.1016/j.inffus.2017.12.006 – prek Elsevier Science Direct.{{navedi časopis}}: Vzdrževanje CS1: samodejni prevod datuma (povezava)
Wiebe, Janyce; Riloff, Ellen (Julij 2011). »Finding Mutual Benefit between Subjectivity Analysis and Information Extraction«. IEEE Transactions on Affective Computing. 2 (4): 175–191. doi:10.1109/T-AFFC.2011.19. ISSN 1949-3045.
Riloff, Ellen (1. avgust 1996). »An empirical study of automated dictionary construction for information extraction in three domains«. Artificial Intelligence (v angleščini). 85 (1): 101–134. doi:10.1016/0004-3702(95)00123-9. ISSN 0004-3702.
Thelen, Michael; Riloff, Ellen (6. julij 2002). »A bootstrapping method for learning semantic lexicons using extraction pattern contexts«. Proceedings of the ACL-02 Conference on Empirical Methods in Natural Language Processing - Volume 10. EMNLP '02. USA: Association for Computational Linguistics. 10: 214–221. doi:10.3115/1118693.1118721.
Liu, Bing (23. maj 2012). »Sentiment Analysis and Opinion Mining«. Synthesis Lectures on Human Language Technologies. 5 (1): 1–167. doi:10.2200/S00416ED1V01Y201204HLT016. ISSN 1947-4040. Arhivirano iz prvotnega spletišča dne 10. maja 2021. Pridobljeno 26. januarja 2021.
Deng, Shangkun; Mitsubuchi, Takashi; Shioda, Kei; Shimada, Tatsuro; Sakurai, Akito (december 2011). »Combining Technical Analysis with Sentiment Analysis for Stock Price Prediction«. 2011 IEEE Ninth International Conference on Dependable, Autonomic and Secure Computing. IEEE: 800–807. doi:10.1109/dasc.2011.138. ISBN 978-1-4673-0006-3.{{navedi časopis}}: Vzdrževanje CS1: samodejni prevod datuma (povezava)
Yu, Hong; Hatzivassiloglou, Vasileios (11. julij 2003). »Towards answering opinion questions: separating facts from opinions and identifying the polarity of opinion sentences«. Proceedings of the 2003 Conference on Empirical Methods in Natural Language Processing. EMNLP '03. USA: Association for Computational Linguistics: 129–136. doi:10.3115/1119355.1119372.
Cataldi, Mario; Ballatore, Andrea; Tiddi, Ilaria; Aufaure, Marie-Aude (22. junij 2013). »Good location, terrible food: detecting feature sentiment in user-generated reviews«. Social Network Analysis and Mining. 3 (4): 1149–1163. CiteSeerX 10.1.1.396.9313. doi:10.1007/s13278-013-0119-7. ISSN 1869-5450.
Zhai, Zhongwu; Liu, Bing; Xu, Hua; Jia, Peifa (1. januar 2011). Huang, Joshua Zhexue (ur.). Constrained LDA for Grouping Product Features in Opinion Mining. Lecture Notes in Computer Science. Springer Berlin Heidelberg. str. 448–459. doi:10.1007/978-3-642-20841-6_37. ISBN 978-3-642-20840-9.
Titov, Ivan; McDonald, Ryan (1. januar 2008). Modeling Online Reviews with Multi-grain Topic Models. Proceedings of the 17th International Conference on World Wide Web. WWW '08. New York, NY, USA: ACM. str. 111–120. arXiv:0801.1063. doi:10.1145/1367497.1367513. ISBN 978-1-60558-085-2.
Poria, Soujanya; in sod. (2016). »Aspect extraction for opinion mining with a deep convolutional neural network«. Knowledge-Based Systems. 108: 42–49. doi:10.1016/j.knosys.2016.06.009.
Cambria, E; Schuller, B; Xia, Y; Havasi, C (2013). »New avenues in opinion mining and sentiment analysis«. IEEE Intelligent Systems. 28 (2): 15–21. CiteSeerX 10.1.1.688.1384. doi:10.1109/MIS.2013.30.
Stevenson, Ryan; Mikels, Joseph; James, Thomas (2007). »Characterization of the Affective Norms for English Words by Discrete Emotional Categories« (PDF). Behavior Research Methods. 39 (4): 1020–1024. doi:10.3758/bf03192999. PMID 18183921. Arhivirano iz prvotnega spletišča (PDF) dne 4. marca 2016. Pridobljeno 26. januarja 2021.
Sasikala, P.; Mary Immaculate Sheela, L. (december 2020). »Sentiment analysis of online product reviews using DLMNN and future prediction of online product using IANFIS«. Journal of Big Data (v angleščini). 7 (1): 33. doi:10.1186/s40537-020-00308-7. ISSN 2196-1115.{{navedi časopis}}: Vzdrževanje CS1: samodejni prevod datuma (povezava)
Mozetič, Igor; Grčar, Miha; Smailović, Jasmina (5. maj 2016). »Multilingual Twitter Sentiment Classification: The Role of Human Annotators«. PLOS ONE. 11 (5): e0155036. arXiv:1602.07563. Bibcode:2016PLoSO..1155036M. doi:10.1371/journal.pone.0155036. ISSN 1932-6203. PMC 4858191. PMID 27149621.
Wood, Ian B.; Varela, Pedro L.; Bollen, Johan; Rocha, Luis M.; Gonçalves-Sá, Joana (2017). »Human Sexual Cycles are Driven by Culture and Match Collective Moods«. Scientific Reports. 7 (1): 17973. arXiv:1707.03959. Bibcode:2017NatSR...717973W. doi:10.1038/s41598-017-18262-5. PMC 5740080. PMID 29269945.
Korkontzelos, Ioannis; Nikfarjam, Azadeh; Shardlow, Matthew; Sarker, Abeed; Ananiadou, Sophia; Gonzalez, Graciela H. (2016). »Analysis of the effect of sentiment analysis on extracting adverse drug reactions from tweets and forum posts«. Journal of Biomedical Informatics. 62: 148–158. doi:10.1016/j.jbi.2016.06.007. PMC 4981644. PMID 27363901.
Tang, Huifeng; Tan, Songbo; Cheng, Xueqi (2009). »A survey on sentiment detection of reviews« (PDF). Expert Systems with Applications. 36 (7): 10760–10773. doi:10.1016/j.eswa.2009.02.063.
Liu, Yang; Huang, Xiangji; An, Aijun; Yu, Xiaohui (2008). »Modeling and predicting the helpfulness of online reviews« (PDF). ICDM'08. Eighth IEEE international conference on Data mining. IEEE. str. 443–452. doi:10.1109/ICDM.2008.94. ISBN 978-0-7695-3502-9.
Bermingham, Adam; Smeaton, Alan F. (2010). Classifying sentiment in microblogs: is brevity an advantage? (PDF). Proceedings of the 19th ACM International Conference on Information and Knowledge Management. str. 1833. doi:10.1145/1871437.1871741. ISBN 9781450300995.
Lamba, Manika; Madhusudhan, Margam (2018). »Application of sentiment analysis in libraries to provide temporal information service: a case study on various facets of productivity«. Social Network Analysis and Mining. 8 (1): 1–12. doi:10.1007/s13278-018-0541-y.

dx.doi.org

Riloff, Ellen (1. avgust 1996). »An empirical study of automated dictionary construction for information extraction in three domains«. Artificial Intelligence (v angleščini). 85 (1): 101–134. doi:10.1016/0004-3702(95)00123-9. ISSN 0004-3702.
Deng, Shangkun; Mitsubuchi, Takashi; Shioda, Kei; Shimada, Tatsuro; Sakurai, Akito (december 2011). »Combining Technical Analysis with Sentiment Analysis for Stock Price Prediction«. 2011 IEEE Ninth International Conference on Dependable, Autonomic and Secure Computing. IEEE: 800–807. doi:10.1109/dasc.2011.138. ISBN 978-1-4673-0006-3.{{navedi časopis}}: Vzdrževanje CS1: samodejni prevod datuma (povezava)

europa.eu

cordis.europa.eu

CORDIS. "Collective emotions in cyberspace (CYBEREMOTIONS)"^{[mrtva povezava]}, European Commission, 2009-02-03. Retrieved on 2010-12-13.

google.com

Galitsky, Boris; McKenna, Eugene William. »Sentiment Extraction from Consumer Reviews for Providing Product Recommendations«. Pridobljeno 18. novembra 2013.

harvard.edu

ui.adsabs.harvard.edu

Augustyniak, Łukasz; Szymański, Piotr; Kajdanowicz, Tomasz; Tuligłowicz, Włodzimierz (25. december 2015). »Comprehensive Study on Lexicon-based Ensemble Classification Sentiment Analysis«. Entropy (v angleščini). 18 (1): 4. Bibcode:2015Entrp..18....4A. doi:10.3390/e18010004.
Mozetič, Igor; Grčar, Miha; Smailović, Jasmina (5. maj 2016). »Multilingual Twitter Sentiment Classification: The Role of Human Annotators«. PLOS ONE. 11 (5): e0155036. arXiv:1602.07563. Bibcode:2016PLoSO..1155036M. doi:10.1371/journal.pone.0155036. ISSN 1932-6203. PMC 4858191. PMID 27149621.
Wood, Ian B.; Varela, Pedro L.; Bollen, Johan; Rocha, Luis M.; Gonçalves-Sá, Joana (2017). »Human Sexual Cycles are Driven by Culture and Match Collective Moods«. Scientific Reports. 7 (1): 17973. arXiv:1707.03959. Bibcode:2017NatSR...717973W. doi:10.1038/s41598-017-18262-5. PMC 5740080. PMID 29269945.

humanele.com

news.humanele.com

»Sentiment Analysis on Reddit«. 30. september 2014. Pridobljeno 10. oktobra 2014.

ieee.org

ieeexplore.ieee.org

Wiebe, Janyce; Riloff, Ellen (Julij 2011). »Finding Mutual Benefit between Subjectivity Analysis and Information Extraction«. IEEE Transactions on Affective Computing. 2 (4): 175–191. doi:10.1109/T-AFFC.2011.19. ISSN 1949-3045.

indiana.edu

Stevenson, Ryan; Mikels, Joseph; James, Thomas (2007). »Characterization of the Affective Norms for English Words by Discrete Emotional Categories« (PDF). Behavior Research Methods. 39 (4): 1020–1024. doi:10.3758/bf03192999. PMID 18183921. Arhivirano iz prvotnega spletišča (PDF) dne 4. marca 2016. Pridobljeno 26. januarja 2021.

leeds.ac.uk

comp.leeds.ac.uk

Su, Fangzhong; Markert, Katja (2008). From Words to Senses: a Case Study in Subjectivity Recognition (PDF). Arhivirano iz prvotnega spletišča (PDF) dne 15. februarja 2017. Pridobljeno 26. januarja 2021.

mashable.com

Ogneva, M. »How Companies Can Use Sentiment Analysis to Improve Their Business«. Mashable. Pridobljeno 13. decembra 2012.

mit.edu

people.csail.mit.edu

Snyder, Benjamin; Barzilay, Regina (2007). Multiple Aspect Ranking using the Good Grief Algorithm. str. 300–307. Arhivirano iz prvotnega spletišča dne 6. avgusta 2016. Pridobljeno 26. januarja 2021.

morganclaypool.com

Liu, Bing (23. maj 2012). »Sentiment Analysis and Opinion Mining«. Synthesis Lectures on Human Language Technologies. 5 (1): 1–167. doi:10.2200/S00416ED1V01Y201204HLT016. ISSN 1947-4040. Arhivirano iz prvotnega spletišča dne 10. maja 2021. Pridobljeno 26. januarja 2021.

newscientist.com

Condliffe, Jamie. "Flaming drives online social networks ", New Scientist, 2010-12-07. Retrieved on 2010-12-13.

nih.gov

pubmed.ncbi.nlm.nih.gov

Stevenson, Ryan; Mikels, Joseph; James, Thomas (2007). »Characterization of the Affective Norms for English Words by Discrete Emotional Categories« (PDF). Behavior Research Methods. 39 (4): 1020–1024. doi:10.3758/bf03192999. PMID 18183921. Arhivirano iz prvotnega spletišča (PDF) dne 4. marca 2016. Pridobljeno 26. januarja 2021.
Mozetič, Igor; Grčar, Miha; Smailović, Jasmina (5. maj 2016). »Multilingual Twitter Sentiment Classification: The Role of Human Annotators«. PLOS ONE. 11 (5): e0155036. arXiv:1602.07563. Bibcode:2016PLoSO..1155036M. doi:10.1371/journal.pone.0155036. ISSN 1932-6203. PMC 4858191. PMID 27149621.
Wood, Ian B.; Varela, Pedro L.; Bollen, Johan; Rocha, Luis M.; Gonçalves-Sá, Joana (2017). »Human Sexual Cycles are Driven by Culture and Match Collective Moods«. Scientific Reports. 7 (1): 17973. arXiv:1707.03959. Bibcode:2017NatSR...717973W. doi:10.1038/s41598-017-18262-5. PMC 5740080. PMID 29269945.
Korkontzelos, Ioannis; Nikfarjam, Azadeh; Shardlow, Matthew; Sarker, Abeed; Ananiadou, Sophia; Gonzalez, Graciela H. (2016). »Analysis of the effect of sentiment analysis on extracting adverse drug reactions from tweets and forum posts«. Journal of Biomedical Informatics. 62: 148–158. doi:10.1016/j.jbi.2016.06.007. PMC 4981644. PMID 27363901.

ncbi.nlm.nih.gov

Mozetič, Igor; Grčar, Miha; Smailović, Jasmina (5. maj 2016). »Multilingual Twitter Sentiment Classification: The Role of Human Annotators«. PLOS ONE. 11 (5): e0155036. arXiv:1602.07563. Bibcode:2016PLoSO..1155036M. doi:10.1371/journal.pone.0155036. ISSN 1932-6203. PMC 4858191. PMID 27149621.
Wood, Ian B.; Varela, Pedro L.; Bollen, Johan; Rocha, Luis M.; Gonçalves-Sá, Joana (2017). »Human Sexual Cycles are Driven by Culture and Match Collective Moods«. Scientific Reports. 7 (1): 17973. arXiv:1707.03959. Bibcode:2017NatSR...717973W. doi:10.1038/s41598-017-18262-5. PMC 5740080. PMID 29269945.
Korkontzelos, Ioannis; Nikfarjam, Azadeh; Shardlow, Matthew; Sarker, Abeed; Ananiadou, Sophia; Gonzalez, Graciela H. (2016). »Analysis of the effect of sentiment analysis on extracting adverse drug reactions from tweets and forum posts«. Journal of Biomedical Informatics. 62: 148–158. doi:10.1016/j.jbi.2016.06.007. PMC 4981644. PMID 27363901.

northwestern.edu

cogsci.northwestern.edu

Ortony, Andrew; Clore, G; Collins, A (1988). The Cognitive Structure of Emotions (PDF). Cambridge Univ. Press. Arhivirano iz prvotnega spletišča (PDF) dne 23. novembra 2015.

nowpublishers.com

Pang, Bo; Lee, Lillian (6. julij 2008). »Opinion Mining and Sentiment Analysis«. Foundations and Trends in Information Retrieval (v angleščini). 2 (1–2): 1–135. doi:10.1561/1500000011. ISSN 1554-0669.

nytimes.com

Wright, Alex. "Mining the Web for Feelings, Not Facts", New York Times, 2009-08-23. Retrieved on 2009-10-01.

paragonpoll.com

»Case Study: Advanced Sentiment Analysis«. Pridobljeno 18. oktobra 2013.

psu.edu

citeseerx.ist.psu.edu

Taboada, Maite; Brooke, Julian (2011). »Lexicon-based methods for sentiment analysis«. Computational Linguistics. 37 (2): 272–274. CiteSeerX 10.1.1.188.5517. doi:10.1162/coli_a_00049.
Thelwall, Mike; Buckley, Kevan; Paltoglou, Georgios; Cai, Di; Kappas, Arvid (2010). »Sentiment strength detection in short informal text«. Journal of the American Society for Information Science and Technology. 61 (12): 2544–2558. CiteSeerX 10.1.1.278.3863. doi:10.1002/asi.21416. Arhivirano iz prvotnega spletišča dne 1. februarja 2021. Pridobljeno 26. januarja 2021.
Cataldi, Mario; Ballatore, Andrea; Tiddi, Ilaria; Aufaure, Marie-Aude (22. junij 2013). »Good location, terrible food: detecting feature sentiment in user-generated reviews«. Social Network Analysis and Mining. 3 (4): 1149–1163. CiteSeerX 10.1.1.396.9313. doi:10.1007/s13278-013-0119-7. ISSN 1869-5450.
Cambria, E; Schuller, B; Xia, Y; Havasi, C (2013). »New avenues in opinion mining and sentiment analysis«. IEEE Intelligent Systems. 28 (2): 15–21. CiteSeerX 10.1.1.688.1384. doi:10.1109/MIS.2013.30.
Socher, Richard; Perelygin, Alex; Wu, Jean Y.; Chuang, Jason; Manning, Christopher D.; Ng, Andrew Y.; Potts, Christopher (2013). »Recursive deep models for semantic compositionality over a sentiment treebank«. In Proceedings of EMNLP: 1631–1642. CiteSeerX 10.1.1.593.7427.

readwrite.com

Kirkpatrick, Marshall. ", ReadWriteWeb, 2009-04-15. Retrieved on 2009-10-01.

researchgate.net

Ribeiro, Filipe Nunes; Araujo, Matheus (2010). »A Benchmark Comparison of State-of-the-Practice Sentiment Analysis Methods«. Transactions on Embedded Computing Systems. 9 (4).

semanticscholar.org

pdfs.semanticscholar.org

Tang, Huifeng; Tan, Songbo; Cheng, Xueqi (2009). »A survey on sentiment detection of reviews« (PDF). Expert Systems with Applications. 36 (7): 10760–10773. doi:10.1016/j.eswa.2009.02.063.
Minqing, Hu; Liu, Bing (2004). »Mining opinion features in customer reviews« (PDF). AAAI. 4 (4).

sentic.net

Chaturvedi, Iti; Cambria, Erik; Welsch, Roy E.; Herrera, Francisco (november 2018). »Distinguishing between facts and opinions for sentiment analysis: Survey and challenges« (PDF). Information Fusion. 44: 65–77. doi:10.1016/j.inffus.2017.12.006 – prek Elsevier Science Direct.{{navedi časopis}}: Vzdrževanje CS1: samodejni prevod datuma (povezava)

springer.com

link.springer.com

Wiebe, Janyce; Riloff, Ellen (2005). Gelbukh, Alexander (ur.). »Creating Subjective and Objective Sentence Classifiers from Unannotated Texts«. Computational Linguistics and Intelligent Text Processing. Lecture Notes in Computer Science (v angleščini). Berlin, Heidelberg: Springer. 3406: 486–497. doi:10.1007/978-3-540-30586-6_53. ISBN 978-3-540-30586-6.

springer.com

Cambria, E; Hussain, A (2015). Sentic Computing: A Common-Sense-Based Framework for Concept-Level Sentiment Analysis. Springer. ISBN 9783319236544.

uic.edu

cs.uic.edu

Liu, Bing (2010). Sentiment Analysis and Subjectivity (PDF).
Hu, Minqing; Liu, Bing (2004). Mining and Summarizing Customer Reviews.
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