Introduction to Sentiment Analysis Covering Basics, Tools, Evaluation Metrics, Challenges, and Applications
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[1] Andrea Esuli,et al. Hierarchical Multi-label Conditional Random Fields for Aspect-Oriented Opinion Mining , 2014, ECIR.
[2] Charu C. Aggarwal,et al. Mining Text Data , 2012 .
[3] Imene Guellil,et al. Social big data mining: A survey focused on opinion mining and sentiments analysis , 2015, 2015 12th International Symposium on Programming and Systems (ISPS).
[4] Muhammad Abdul-Mageed,et al. Subjectivity and Sentiment Analysis of Arabic: A Survey , 2012, AMLTA.
[5] Junlan Feng,et al. Robust Sentiment Detection on Twitter from Biased and Noisy Data , 2010, COLING.
[6] David Bamman,et al. Contextualized Sarcasm Detection on Twitter , 2015, ICWSM.
[7] Erik Cambria,et al. OntoSenticNet: A Commonsense Ontology for Sentiment Analysis , 2018, IEEE Intelligent Systems.
[8] Denilson Alves Pereira,et al. A survey of sentiment analysis in the Portuguese language , 2020, Artificial Intelligence Review.
[9] Lei Zhang,et al. Opinion community detection and opinion leader detection based on text information and network topology in cloud environment , 2019, Inf. Sci..
[10] Eduardo R. Hruschka,et al. A Survey and Comparative Study of Tweet Sentiment Analysis via Semi-Supervised Learning , 2016, ACM Comput. Surv..
[11] Wei Hu,et al. Mutually Enhancing Community Detection and Sentiment Analysis on Twitter Networks , 2013 .
[12] Imran Sarwar Bajwa,et al. Resolving Syntactic Ambiguities in Natural Language Specification of Constraints , 2012, CICLing.
[13] Fabio Crestani,et al. Comparative opinion mining: A review , 2017, J. Assoc. Inf. Sci. Technol..
[14] Ruijun Liu,et al. A Survey of Sentiment Analysis Based on Transfer Learning , 2019, IEEE Access.
[15] Anil K. Jain,et al. Simultaneous feature selection and clustering using mixture models , 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[16] Yacine Ouzrout,et al. Negation Handling in Sentiment Analysis at Sentence Level , 2017, J. Comput..
[17] Hamish Cunningham. GATE, a General Architecture for Text Engineering , 2002 .
[18] Maurizio Morisio,et al. Word Embeddings for Sentiment Analysis: A Comprehensive Empirical Survey , 2019, ArXiv.
[19] Brendan T. O'Connor,et al. From Tweets to Polls: Linking Text Sentiment to Public Opinion Time Series , 2010, ICWSM.
[20] Yung-Ming Li,et al. Deriving market intelligence from microblogs , 2013, Decis. Support Syst..
[21] Richa Sharma,et al. Opinion Mining In Hindi Language: A Survey , 2014, FOCS 2014.
[22] Ted Kwartler. The OpenNLP Project , 2017 .
[23] Nina Wacholder,et al. Identifying Sarcasm in Twitter: A Closer Look , 2011, ACL.
[24] Zhu Wang,et al. A sentiment-enhanced personalized location recommendation system , 2013, HT.
[25] Dunja Mladenic,et al. OntoGen: Semi-automatic Ontology Editor , 2007, HCI.
[26] Fabrício Benevenuto,et al. iFeel: a system that compares and combines sentiment analysis methods , 2014, WWW.
[27] Eric Horvitz,et al. Predicting Depression via Social Media , 2013, ICWSM.
[28] Andrea Esuli,et al. SentiWordNet 3.0: An Enhanced Lexical Resource for Sentiment Analysis and Opinion Mining , 2010, LREC.
[29] Mong-Li Lee,et al. Mitigating Misinformation in Online Social Network with Top-k Debunkers and Evolving User Opinions , 2020, WWW.
[30] Lei Zhang,et al. Sentiment Analysis and Opinion Mining , 2017, Encyclopedia of Machine Learning and Data Mining.
[31] Jon Oberlander,et al. Whose Thumb Is It Anyway? Classifying Author Personality from Weblog Text , 2006, ACL.
[32] Ana María Martínez Enríquez,et al. Sentiment Analysis of Urdu Language: Handling Phrase-Level Negation , 2011, MICAI.
[33] Tejashri Inadarchand Jain,et al. Recognizing Contextual Polarity in Phrase-Level Sentiment Analysis , 2010 .
[34] Subhabrata Mukherjee,et al. Sentiment Analysis of Reviews , 2018, Encyclopedia of Social Network Analysis and Mining. 2nd Ed..
[35] Desheng Dash Wu,et al. Using text mining and sentiment analysis for online forums hotspot detection and forecast , 2010, Decis. Support Syst..
[36] Mohammed Korayem,et al. Sentiment/subjectivity analysis survey for languages other than English , 2016, Social Network Analysis and Mining.
[37] E. Kirubakaran,et al. A Survey on Sentiment Analysis of (Product) Reviews , 2012 .
[38] Pushpak Bhattacharyya,et al. Sentiment Analysis : A Literature Survey , 2013, ArXiv.
[39] Walaa Medhat,et al. Sentiment analysis algorithms and applications: A survey , 2014 .
[40] Neamat El-Tazi,et al. Sentiment Analysis over Social Networks: An Overview , 2015, 2015 IEEE International Conference on Systems, Man, and Cybernetics.
[41] Abeer El-Korany,et al. Enabling Semantic User Context to Enhance Twitter Location Prediction , 2016, ICAART.
[42] Vishal. A. Kharde,et al. Sentiment Analysis of Twitter Data : A Survey of Techniques , 2016, ArXiv.
[43] Nick Bassiliades,et al. Ontology-based sentiment analysis of twitter posts , 2013, Expert Syst. Appl..
[44] Vishwanath R Hulipalled,et al. Every post matters: A survey on applications of sentiment analysis in social media , 2017, 2017 International Conference On Smart Technologies For Smart Nation (SmartTechCon).
[45] Bo Pang,et al. A Sentimental Education: Sentiment Analysis Using Subjectivity Summarization Based on Minimum Cuts , 2004, ACL.
[46] Koby Crammer,et al. Pranking with Ranking , 2001, NIPS.
[47] Nathalie Aussenac-Gilles,et al. Ontolexical resources for feature-based opinion mining: a case-study , 2010 .
[48] Johan Bollen,et al. Modeling Public Mood and Emotion: Twitter Sentiment and Socio-Economic Phenomena , 2009, ICWSM.
[49] Krys J. Kochut,et al. A Brief Survey of Text Mining: Classification, Clustering and Extraction Techniques , 2017, ArXiv.
[50] Stephen Shaoyi Liao,et al. Sentiment community detection in social networks , 2011, iConference '11.
[51] Vishal Gupta,et al. A Survey on Sentiment Analysis and Opinion Mining Techniques , 2013 .
[52] Francisco Herrera,et al. Distinguishing between facts and opinions for sentiment analysis: Survey and challenges , 2018, Inf. Fusion.
[53] Jaana Kekäläinen,et al. Cumulated gain-based evaluation of IR techniques , 2002, TOIS.
[54] Soon Ae Chun,et al. Monitoring Public Health Concerns Using Twitter Sentiment Classifications , 2013, 2013 IEEE International Conference on Healthcare Informatics.
[55] Mohammad Soleymani,et al. A survey of multimodal sentiment analysis , 2017, Image Vis. Comput..
[56] Véronique Hoste,et al. Emotion detection in suicide notes , 2013, Expert Syst. Appl..
[57] Ferat Sahin,et al. A survey on feature selection methods , 2014, Comput. Electr. Eng..
[58] Jong-Seok Lee,et al. Data-driven integration of multiple sentiment dictionaries for lexicon-based sentiment classification of product reviews , 2014, Knowl. Based Syst..
[59] Shakeel Ahmad,et al. Sentiment Analysis on YouTube: A Brief Survey , 2015, ArXiv.
[60] Walid Magdy,et al. Assessing Sentiment of the Expressed Stance on Social Media , 2019, SocInfo.
[61] Li Chen,et al. News impact on stock price return via sentiment analysis , 2014, Knowl. Based Syst..
[62] Juan Martínez-Romo,et al. Detecting malicious tweets in trending topics using a statistical analysis of language , 2013, Expert Syst. Appl..
[63] M. Cha,et al. Rumor Detection over Varying Time Windows , 2017, PloS one.
[64] Payal K. Punde,et al. Survey on Sentiment Analysis using Twitter Dataset , 2018, 2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA).
[65] Suad Alhojely,et al. Sentiment Analysis and Opinion Mining: A Survey , 2016 .
[66] Erik Cambria,et al. A Review of Sentiment Analysis Research in Chinese Language , 2017, Cognitive Computation.
[67] Thierson Couto,et al. SentiHealth-Cancer: A sentiment analysis tool to help detecting mood of patients in online social networks , 2016, Int. J. Medical Informatics.
[68] Moch Arif Bijaksana,et al. Negation handling in sentiment classification using rule-based adapted from Indonesian language syntactic for Indonesian text in Twitter , 2018 .
[69] M. Govindarajan. A Survey of Classification Methods and Applications for Sentiment Analysis , 2013 .
[70] Erik Cambria,et al. Deep Learning-Based Document Modeling for Personality Detection from Text , 2017, IEEE Intelligent Systems.
[71] Chetashri Bhadane,et al. Sentiment Analysis: Measuring Opinions , 2015 .
[72] Francine Chen,et al. DiG: a task-based approach to product search , 2011, IUI '11.
[73] Jeffrey Dean,et al. Efficient Estimation of Word Representations in Vector Space , 2013, ICLR.
[74] Kiran Bhowmick,et al. A Survey of Opinion Mining and Sentiment Analysis , 2015 .
[75] Long Jiang,et al. User-level sentiment analysis incorporating social networks , 2011, KDD.
[76] Mauro Dragoni,et al. Propagating and Aggregating Fuzzy Polarities for Concept-Level Sentiment Analysis , 2015, Cognitive Computation.
[77] A. M. Abirami,et al. A survey on sentiment analysis methods and approach , 2017, 2016 Eighth International Conference on Advanced Computing (ICoAC).
[78] Erik Cambria,et al. SenticNet 2: A Semantic and Affective Resource for Opinion Mining and Sentiment Analysis , 2012, FLAIRS.
[79] Dan Pei,et al. Automatically and Adaptively Identifying Severe Alerts for Online Service Systems , 2020, IEEE INFOCOM 2020 - IEEE Conference on Computer Communications.
[80] Lei Zhang,et al. A Survey of Opinion Mining and Sentiment Analysis , 2012, Mining Text Data.
[81] Christiane Fellbaum,et al. Book Reviews: WordNet: An Electronic Lexical Database , 1999, CL.
[82] Hsinchun Chen,et al. Sentiment analysis in multiple languages: Feature selection for opinion classification in Web forums , 2008, TOIS.
[83] Bing Liu,et al. Sentiment Analysis and Opinion Mining , 2012, Synthesis Lectures on Human Language Technologies.
[84] Nicco Nocon,et al. Using Stanford Part-of-Speech Tagger for the Morphologically-rich Filipino Language , 2017, PACLIC.
[85] Andrew B. Whinston,et al. Social network-embedded prediction markets: The effects of information acquisition and communication on predictions , 2013, Decis. Support Syst..
[86] Soon Ae Chun,et al. Twitter sentiment classification for measuring public health concerns , 2015, Social Network Analysis and Mining.
[87] William Rand,et al. Automatic Crowdsourcing-Based Classification of Marketing Messaging on Twitter , 2013, 2013 International Conference on Social Computing.
[88] Claire Cardie,et al. Multi-aspect Sentiment Analysis with Topic Models , 2011, 2011 IEEE 11th International Conference on Data Mining Workshops.
[89] Arafat Awajan,et al. Sentiment classification techniques for Arabic language: A survey , 2016, 2016 7th International Conference on Information and Communication Systems (ICICS).
[90] Khairullah Khan,et al. Mining opinion from text documents: A survey , 2009, 2009 3rd IEEE International Conference on Digital Ecosystems and Technologies.
[91] Gints Jekabsons,et al. Sentiment Analysis in Latvian and Russian: A Survey , 2018, Appl. Comput. Syst..
[92] Antonio Fernández,et al. Sentiment Analysis and Topic Detection of Spanish Tweets: A Comparative Study of of NLP Techniques , 2013, Proces. del Leng. Natural.
[93] Qingxi Peng,et al. Detecting Spam Review through Sentiment Analysis , 2014, J. Softw..
[94] Kenji Kita,et al. Slang feature extraction by analysing topic change on social media , 2019, CAAI Trans. Intell. Technol..
[95] Raisa Varghese. A SURVEY ON SENTIMENT ANALYSIS AND OPINION MINING , 2013 .
[96] Rupal Bhargava,et al. MSATS: Multilingual sentiment analysis via text summarization , 2017, 2017 7th International Conference on Cloud Computing, Data Science & Engineering - Confluence.
[97] Shenghuo Zhu,et al. SumView: A Web-based engine for summarizing product reviews and customer opinions , 2013, Expert Syst. Appl..
[98] Vidisha M. Pradhan,et al. A Survey on Sentiment Analysis Algorithms for Opinion Mining , 2016 .
[99] Barbara Poblete,et al. Predicting information credibility in time-sensitive social media , 2013, Internet Res..
[100] Zoraida Callejas Carrión,et al. Sentiment Analysis: From Opinion Mining to Human-Agent Interaction , 2016, IEEE Transactions on Affective Computing.
[101] Themis Palpanas,et al. Survey on mining subjective data on the web , 2011, Data Mining and Knowledge Discovery.
[102] Philip J. Stone,et al. A computer approach to content analysis: studies using the General Inquirer system , 1963, AFIPS Spring Joint Computing Conference.
[103] K. P. Soman,et al. Identifying Sentiment of Malayalam Tweets Using Deep Learning , 2018, Digital Business.
[104] A. Jeyapriya,et al. Extracting aspects and mining opinions in product reviews using supervised learning algorithm , 2015, 2015 2nd International Conference on Electronics and Communication Systems (ICECS).
[105] Preeti Routray,et al. A Survey on Sentiment Analysis , 2013 .
[106] Liang Gao,et al. Deep learning-based personality recognition from text posts of online social networks , 2018, Applied Intelligence.
[107] Elisabetta Fersini,et al. Challenges of Sentiment Analysis in Social Networks: An Overview , 2017 .
[108] Andreas Hotho,et al. A Brief Survey of Text Mining , 2005, LDV Forum.
[109] Weitong Chen,et al. A survey of sentiment analysis in social media , 2018, Knowledge and Information Systems.
[110] Mohammed Erritali,et al. Machine Learning and Semantic Sentiment Analysis based Algorithms for Suicide Sentiment Prediction in Social Networks , 2017, EUSPN/ICTH.
[111] Akshi Kumar,et al. Sentiment Analysis: A Perspective on its Past, Present and Future , 2012 .
[112] Qinghua Zheng,et al. Opinioned Post Detection in Sina Weibo , 2017, IEEE Access.
[113] Prabin Kumar Panigrahi,et al. A review of recent advances in text mining of Indian languages , 2016, BIS 2016.
[114] Ghazaleh Beigi,et al. An Overview of Sentiment Analysis in Social Media and Its Applications in Disaster Relief , 2016, Sentiment Analysis and Ontology Engineering.
[115] Pasquale Lops,et al. A Multi-criteria Recommender System Exploiting Aspect-based Sentiment Analysis of Users' Reviews , 2017, RecSys.
[116] Mohamed M. Mostafa,et al. More than words: Social networks' text mining for consumer brand sentiments , 2013, Expert Syst. Appl..
[117] Fotis Jannidis,et al. Towards Sentiment Analysis on German Literature , 2017, KI.
[118] Diana Maynard,et al. Who cares about Sarcastic Tweets? Investigating the Impact of Sarcasm on Sentiment Analysis. , 2014, LREC.
[119] Sumeet Gupta,et al. Examining knowledge contribution from the perspective of an online identity in blogging communities , 2011, Comput. Hum. Behav..
[120] David E. Goldberg,et al. Genetic Algorithms in Search Optimization and Machine Learning , 1988 .
[121] Mohammad Karim Sohrabi,et al. A survey on classification techniques for opinion mining and sentiment analysis , 2017, Artificial Intelligence Review.
[122] Saroj Kumar Biswas. Keyword Extraction from Tweets Using Weighted Graph , 2019 .
[123] T. Chellatamilan,et al. Intelligent Topical Sentiment Analysis for the Classification of E-Learners and Their Topics of Interest , 2015, TheScientificWorldJournal.
[124] Erik Cambria,et al. SenticNet: A Publicly Available Semantic Resource for Opinion Mining , 2010, AAAI Fall Symposium: Commonsense Knowledge.
[125] Bin Jiang,et al. A survey on sentiment analysis and opinion mining for social multimedia , 2018, Multimedia Tools and Applications.
[126] Juha Reunanen,et al. Overfitting in Making Comparisons Between Variable Selection Methods , 2003, J. Mach. Learn. Res..
[127] Chao Chen,et al. Detecting Non‐personal and Spam Users on Geo‐tagged Twitter Network , 2014, Trans. GIS.
[128] Bo Pang,et al. Thumbs up? Sentiment Classification using Machine Learning Techniques , 2002, EMNLP.
[129] Yen-Liang Chen,et al. Opinion mining from online hotel reviews - A text summarization approach , 2017, Inf. Process. Manag..
[130] Charu C. Aggarwal,et al. Mining Text Data , 2012, Springer US.
[131] Yung-Ming Li,et al. A diffusion mechanism for social advertising over microblogs , 2012, Decis. Support Syst..
[132] Vahab S. Mirrokni,et al. Large-Scale Community Detection on YouTube for Topic Discovery and Exploration , 2011, ICWSM.
[133] Usman Qamar,et al. TOM: Twitter opinion mining framework using hybrid classification scheme , 2014, Decis. Support Syst..
[134] Brendan T. O'Connor,et al. Part-of-Speech Tagging for Twitter: Annotation, Features, and Experiments , 2010, ACL.
[135] Ting Yu,et al. Detecting Opinion Spammer Groups Through Community Discovery and Sentiment Analysis , 2015, DBSec.
[136] Tajinder Singh,et al. Role of Text Pre-processing in Twitter Sentiment Analysis , 2016 .
[137] Dietrich Klakow,et al. A survey on the role of negation in sentiment analysis , 2010, NeSp-NLP@ACL.
[138] Xiangfeng Luo,et al. Sentiment Computing for the News Event Based on the Social Media Big Data , 2017, IEEE Access.
[139] Ponnurangam Kumaraguru,et al. Credibility ranking of tweets during high impact events , 2012, PSOSM '12.
[140] Khaled Shaalan,et al. Machine translation model using inductive logic programming , 2009, 2009 International Conference on Natural Language Processing and Knowledge Engineering.
[141] Johan Bollen,et al. Twitter mood predicts the stock market , 2010, J. Comput. Sci..
[142] Miguel Ángel García Cumbreras,et al. Pessimists and optimists: Improving collaborative filtering through sentiment analysis , 2013, Expert Syst. Appl..
[143] Abed Allah Khamaiseh,et al. A comprehensive survey of arabic sentiment analysis , 2019, Inf. Process. Manag..
[144] Josef Kittler,et al. Floating search methods in feature selection , 1994, Pattern Recognit. Lett..
[145] Saif Mohammad,et al. SemEval-2016 Task 6: Detecting Stance in Tweets , 2016, *SEMEVAL.
[146] Lillian Lee,et al. Opinion Mining and Sentiment Analysis , 2008, Found. Trends Inf. Retr..
[147] C Sindhu,et al. OPINION MINING AND SENTIMENT CLASSIFICATION: A SURVEY , 2012, ICTACT Journal on Soft Computing.
[148] Kyung Hyan Yoo,et al. Comparison of Deceptive and Truthful Travel Reviews , 2009, ENTER.
[149] Zulaiha Ali Othman,et al. Opinion Mining and Sentiment Analysis: A Survey , 2012, BIOINFORMATICS 2012.
[150] Claire Cardie,et al. OpinionFinder: A System for Subjectivity Analysis , 2005, HLT.
[151] Xi Xiong,et al. Discriminating Topical Influencers Based on the User Relative Emotion , 2019, IEEE Access.
[152] Mika V. Mäntylä,et al. The evolution of sentiment analysis - A review of research topics, venues, and top cited papers , 2016, Comput. Sci. Rev..
[153] Michael W. Berry,et al. Survey of Text Mining , 2003, Springer New York.
[154] V. S. Subrahmanian,et al. Using sentiment to detect bots on Twitter: Are humans more opinionated than bots? , 2014, 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014).
[155] Martin Ester,et al. Opinion digger: an unsupervised opinion miner from unstructured product reviews , 2010, CIKM.
[156] Jiebo Luo,et al. The Eyes of the Beholder: Gender Prediction Using Images Posted in Online Social Networks , 2014, 2014 IEEE International Conference on Data Mining Workshop.
[157] Franciska de Jong,et al. Scope of negation detection in sentiment analysis , 2011 .
[158] Niladri Sekhar Dey,et al. Sentiment Extraction and Analysis using Machine Learning Tools-Survey , 2019 .
[159] Erik Cambria,et al. Sentic Computing for social media marketing , 2012, Multimedia Tools and Applications.
[160] Ying Wah Teh,et al. Text mining of news-headlines for FOREX market prediction: A Multi-layer Dimension Reduction Algorithm with semantics and sentiment , 2015, Expert Syst. Appl..
[161] Mikolaj Morzy,et al. Opinion Mining and Social Networks: A Promising Match , 2011, 2011 International Conference on Advances in Social Networks Analysis and Mining.
[162] Yiqun Liu,et al. Emotion Tokens: Bridging the Gap among Multilingual Twitter Sentiment Analysis , 2011, AIRS.
[163] Eva Lahuerta-Otero,et al. Looking for the perfect tweet. The use of data mining techniques to find influencers on twitter , 2016, Comput. Hum. Behav..
[164] Saif Mohammad,et al. From once upon a time to happily ever after: Tracking emotions in mail and books , 2012, Decis. Support Syst..
[165] Yu-N Cheah,et al. Aspect extraction in sentiment analysis: comparative analysis and survey , 2016, Artificial Intelligence Review.
[166] Kim Schouten,et al. Survey on Aspect-Level Sentiment Analysis , 2016, IEEE Transactions on Knowledge and Data Engineering.
[167] Jason Baldridge,et al. Multidisciplinary Instruction with the Natural Language Toolkit , 2008 .
[168] Maite Taboada,et al. Cross-Linguistic Sentiment Analysis: From English to Spanish , 2009, RANLP.
[169] Xiang Yang,et al. Survey on Chinese text sentiment analysis , 2011 .
[170] Dominik Spińczyk,et al. Computer aided sentiment analysis of anorexia nervosa patients’ vocabulary , 2018, Biomedical engineering online.
[171] Matt Taddy,et al. Inverse Regression for Analysis of Sentiment in Text , 2010 .
[172] Florian Krebs,et al. Social Emotion Mining Techniques for Facebook Posts Reaction Prediction , 2017, ICAART.
[173] Ricardo Campos,et al. A Text Feature Based Automatic Keyword Extraction Method for Single Documents , 2018, ECIR.
[174] Zachary Miller,et al. Gender Prediction on Twitter Using Stream Algorithms with N-Gram Character Features , 2012 .
[175] Johanna D. Moore,et al. Twitter Sentiment Analysis: The Good the Bad and the OMG! , 2011, ICWSM.
[176] Surendra Sedhai,et al. Semi-Supervised Spam Detection in Twitter Stream , 2017, IEEE Transactions on Computational Social Systems.
[177] Gülsen Eryigit,et al. TURKSENT: A Sentiment Annotation Tool for Social Media , 2013, LAW@ACL.
[178] Mayuri A. Mehta,et al. Techniques for sentiment analysis of Twitter data: A comprehensive survey , 2016, 2016 International Conference on Computing, Communication and Automation (ICCCA).
[179] Malvina Nissim,et al. Sentiment analysis on Italian tweets , 2013, WASSA@NAACL-HLT.
[180] Ria Mae Borromeo,et al. Automatic vs. Crowdsourced Sentiment Analysis , 2015, IDEAS.
[181] M. B. Chandak,et al. Opinion Mining and Analysis: A survey , 2013, ArXiv.
[182] Ibrahim A. Hameed,et al. A survey on sentiment analysis in Urdu: A resource-poor language , 2020 .
[183] Akshi Kumar,et al. ComEx Miner: Expert Mining in Virtual Communities , 2012 .
[184] Yue Lu,et al. Latent aspect rating analysis without aspect keyword supervision , 2011, KDD.
[185] Fabio Crestani,et al. Like It or Not , 2016, ACM Comput. Surv..
[186] Stefan Morana,et al. Measuring Service Encounter Satisfaction with Customer Service Chatbots using Sentiment Analysis , 2019, Wirtschaftsinformatik.
[187] Ruhi Bajaj,et al. Auto Text Summarization with Categorization and Sentiment Analysis , 2015 .
[188] Meena Rambocas,et al. Online sentiment analysis in marketing research: a review , 2018 .
[189] Pardeep Singh,et al. Systematic Survey on Sentiment Analysis , 2018, 2018 First International Conference on Secure Cyber Computing and Communication (ICSCCC).
[190] Taha Osman,et al. Challenges in Sentiment Analysis for Arabic Social Networks , 2017, ACLING.
[191] Doaa Mohey El Din Mohamed Hussein,et al. A survey on sentiment analysis challenges , 2016, Journal of King Saud University - Engineering Sciences.
[192] S Padmaja,et al. Opinion Mining and Sentiment Analysis - An Assessment of Peoples' Belief: A Survey , 2013 .
[193] Vadlamani Ravi,et al. A survey on opinion mining and sentiment analysis: Tasks, approaches and applications , 2015, Knowl. Based Syst..
[194] Yong Shi,et al. The Role of Text Pre-processing in Sentiment Analysis , 2013, ITQM.
[195] Areeb Alowisheq,et al. Arabic Sentiment Analysis Resources: A Survey , 2016, HCI.
[196] Harpreet Kaur,et al. A survey of sentiment analysis techniques , 2017, 2017 International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC).
[197] Bing Liu,et al. Opinion observer: analyzing and comparing opinions on the Web , 2005, WWW '05.
[198] R. Lewis,et al. QDA Miner 2.0: Mixed-Model Qualitative Data Analysis Software , 2007 .
[199] Xiao Chen,et al. 6 million spam tweets: A large ground truth for timely Twitter spam detection , 2015, 2015 IEEE International Conference on Communications (ICC).
[200] Quanzeng You,et al. Sentiment and Emotion Analysis for Social Multimedia: Methodologies and Applications , 2016, ACM Multimedia.
[201] Gurpreet Singh Lehal,et al. A Survey of Text Mining Techniques and Applications , 2009 .
[202] Lilja Øvrelid,et al. Representing and Resolving Negation for Sentiment Analysis , 2012, 2012 IEEE 12th International Conference on Data Mining Workshops.