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Opinion Mining

Identifying and categorizing opinions expressed in a piece of text, especially in order to determine whether the writer's attitude towards a particular topic, product, etc. is positive, negative, or neutral (Source: Oxford Languages)

Image Source: Deep learning for sentiment analysis: A survey

Papers

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Showing 351–375 of 630 papers

TitleStatusHype
Mining Software Quality from Software Reviews: Research Trends and Open Issues—0
Using Hadoop for Large Scale Analysis on Twitter: A Technical Report—0
Sentiment Analysis of Twitter Data: A Survey of Techniques—0
Approaches for Sentiment Analysis on Twitter: A State-of-Art study—0
Understanding engagement with insurgents through retweet rhetoric—0
Using Skipgrams, Bigrams, and Part of Speech Features for Sentiment Classification of Twitter Messages—0
Simultaneous Feature Selection and Parameter Optimization Using Multi-objective Optimization for Sentiment Analysis—0
Sentiment Analysis on YouTube: A Brief Survey—0
Machine Learning Sentiment Prediction based on Hybrid Document Representation—0
運用關聯分析探勘民眾關注議題與發展方向:以環保議題為例(Mining Issues of Public Concern by Association Analysis: Using Environmental Issue as an Example)[In Chinese]—0
Sentiment Analyzer with Rich Features for Ironic and Sarcastic Tweets—0
Sentiment Classification of Arabic Documents: Experiments with multi-type features and ensemble algorithms—0
Toward a Corpus of Cantonese Verbal Comments and their Classification by Multi-dimensional Analysis—0
Opinion mining from twitter data using evolutionary multinomial mixture models—0
Learning Relationship between Authors' Activity and Sentiments: A case study of online medical forums—0
A Large Wordnet-based Sentiment Lexicon for Polish—0
PhraseRNN: Phrase Recursive Neural Network for Aspect-based Sentiment Analysis—0
Towards a Lexicon-grammar based Framework for NLP: an Opinion Mining Application—0
Fine-grained Opinion Mining with Recurrent Neural Networks and Word Embeddings—0
Lost in Discussion? Tracking Opinion Groups in Complex Political Discussions by the Example of the FOMC Meeting Transcriptions—0
Optimising Agile Social Media Analysis—0
A quantitative analysis of gender differences in movies using psycholinguistic normatives—0
A Multi-lingual Annotated Dataset for Aspect-Oriented Opinion Mining—0
Towards the Extraction of Customer-to-Customer Suggestions from Reviews—0
Detecting speculations, contrasts and conditionals in consumer reviews—0
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