Challenges and recommended solutions in multi-source and multi-domain sentiment analysis, IEEE Access, vol.7, pp.144957-144971, 2019. ,
Sentiwordnet 3.0: An enhanced lexical resource for sentiment analysis and opinion mining, LREC, pp.2200-2204, 2010. ,
Senticnet 5: Discovering conceptual primitives for sentiment analysis by means of context embeddings, AAAI, pp.1795-1802, 2018. ,
Senticnet: A publicly available semantic resource for opinion mining, AAAI Fall Symposium: Commonsense Knowledge, 2010. ,
Polysemy and brevity versus frequency in language, Computer Speech & Language, vol.58, pp.19-50, 2019. ,
Shellfbk: an information retrieval-based system for multi-domain sentiment analysis, Proceedings of the 9th International Workshop on Semantic Evaluation, pp.502-509, 2015. ,
A fuzzy system for concept-level sentiment analysis, SemWebE-val@ESWC, vol.475, pp.21-27, 2014. ,
URL : https://hal.archives-ouvertes.fr/hal-01078178
Propagating and aggregating fuzzy polarities for concept-level sentiment analysis, Cognitive Computation, vol.7, issue.2, pp.186-197, 2015. ,
URL : https://hal.archives-ouvertes.fr/hal-01150556
DRANZIERA: an evaluation protocol for multi-domain opinion mining, Proceedings of the 10th International Conference on Language Resources and Evaluation (LREC 2016), 2016. ,
URL : https://hal.archives-ouvertes.fr/hal-01322949
Domain adaptation for large-scale sentiment classification: A deep learning approach, ICML, pp.513-520, 2011. ,
URL : https://hal.archives-ouvertes.fr/hal-00752091
Twitter sentiment classification using distant supervision, 2009. ,
Comparing and combining sentiment analysis methods, Proceedings of the first ACM conference on Online social networks, pp.27-38, 2013. ,
Panas-t: A pychometric scale for measuring sentiments on twitter, 2013. ,
Tweetin'in the rain: Exploring societal-scale effects of weather on mood, Sixth International AAAI Conference on Weblogs and Social Media, 2012. ,
Defuzzification in fuzzy controllers', Intelligent and Fuzzy Systems, vol.1, pp.109-123, 1993. ,
Mining and summarizing customer reviews, Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining, pp.168-177, 2004. ,
Vader: A parsimonious rule-based model for sentiment analysis of social media text, Eighth international AAAI conference on weblogs and social media, 2014. ,
Optimization by simulated annealing, SCIENCE, vol.220, issue.4598, pp.671-680, 1983. ,
Umigon: sentiment analysis for tweets based on lexicons and heuristics, Proceedings of the International workshop on Semantic Evaluation, 2013. ,
Sentiment extraction -measuring the emotional tone of content, 2015. ,
Efficient estimation of word representations in vector space, 2013. ,
Wordnet: a lexical database for english, Communications of the ACM, vol.38, pp.39-41, 1995. ,
# emotional tweets, Proceedings of the First Joint Conference on Lexical and Computational Semantics, vol.1, pp.246-255, 2012. ,
Nrccanada: Building the state-of-the-art in sentiment analysis of tweets, 2013. ,
Crowdsourcing a wordemotion association lexicon, Computational Intelligence, vol.29, issue.3, pp.436-465, 2013. ,
A new anew: Evaluation of a word list for sentiment analysis in microblogs, 2011. ,
A sentimental education: Sentiment analysis using subjectivity summarization based on minimum cuts, Proceedings of the 42nd annual meeting on Association for Computational Linguistics, pp.271-278, 2004. ,
Sentiment analysis of user comments for one-class collaborative filtering over ted talks, Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval, pp.773-776, 2013. ,
The development and psychometric properties of liwc2015, 2015. ,
Sentiment analysis for the tweets that contain the word "earthquake, 2018 10th International Conference on Electronics, Computers and Artificial Intelligence (ECAI), pp.1-6, 2018. ,
The CLAUSY system at ESWC-2018 challenge on semantic sentiment analysis, SemWebEval@ESWC, vol.927, pp.186-196, 2018. ,
Sentibench-a benchmark comparison of state-of-the-practice sentiment analysis methods, EPJ Data Science, vol.5, issue.1, 2016. ,
The benefit of concept-based features for sentiment analysis, SemWebEval@ESWC, vol.548, pp.223-233, 2015. ,
Pattern for python, Journal of Machine Learning Research, vol.13, pp.2063-2067, 2012. ,
Recursive deep models for semantic compositionality over a sentiment treebank, Proceedings of the 2013 conference on empirical methods in natural language processing, pp.1631-1642, 2013. ,
Lexicon-based methods for sentiment analysis, Computational Linguistics, vol.37, issue.2, pp.267-307, 2011. ,
The psychological meaning of words: Liwc and computerized text analysis methods, Journal of language and social psychology, vol.29, issue.1, pp.24-54, 2010. ,
Heart and soul: Sentiment strength detection in the social web with sentistrength (summary book chapter, pp.119-134, 2013. ,
A system for real-time twitter sentiment analysis of 2012 us presidential election cycle, Proceedings of the ACL 2012 system demonstrations, pp.115-120, 2012. ,
Norms of valence, arousal, and dominance for 13,915 english lemmas, Behavior research methods, vol.45, pp.1191-1207, 2013. ,
Recognizing contextual polarity in phrase-level sentiment analysis, Proceedings of human language technology conference and conference on empirical methods in natural language processing, pp.347-354, 2005. ,
Transfer learning for multiple-domain sentiment analysis-identifying domain dependent/independent word polarity, AAAI, pp.1286-1291, 2011. ,
Fuzzy sets, Information and Control, vol.8, pp.338-353, 1965. ,
The concept of a linguistic variable and its application to approximate reasoning -i', Inf. Sci, vol.8, issue.3, pp.199-249, 1975. ,