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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 351–400 of 630 papers

TitleStatusHype
Investigating the Image of Entities in Social Media: Dataset Design and First Results—0
Irony and Sarcasm: Corpus Generation and Analysis Using Crowdsourcing—0
Irony Detector at SemEval-2018 Task 3: Irony Detection in English Tweets using Word Graph—0
Is Something Better than Nothing? Automatically Predicting Stance-based Arguments Using Deep Learning and Small Labelled Dataset—0
Is Twitter A Better Corpus for Measuring Sentiment Similarity?—0
It’s absolutely divine! Can fine-grained sentiment analysis benefit from coreference resolution?—0
JaTeCS an open-source JAva TExt Categorization System—0
Joint Emotion Analysis via Multi-task Gaussian Processes—0
Jointly identifying opinion mining elements and fuzzy measurement of opinion intensity to analyze product features—0
Joint Modeling of Opinion Expression Extraction and Attribute Classification—0
Joint prediction in MST-style discourse parsing for argumentation mining—0
JU\_CSE: A Conditional Random Field (CRF) Based Approach to Aspect Based Sentiment Analysis—0
JU\_NLP at SemEval-2016 Task 6: Detecting Stance in Tweets using Support Vector Machines—0
Keynote - Modeling Human Communication Dynamics—0
Knowledge Aware Emotion Recognition in Textual Conversations via Multi-Task Incremental Transformer—0
Knowledge-enhanced Prompt-tuning for Stance Detection—0
Large-scale Opinion Relation Extraction with Distantly Supervised Neural Network—0
Learning from students' perception on professors through opinion mining—0
Learning Relationship between Authors' Activity and Sentiments: A case study of online medical forums—0
Learning Semantic Representations of Users and Products for Document Level Sentiment Classification—0
Learning Sentiment Lexicons in Spanish—0
Learning to Identify Subjective Sentences—0
Learning to Represent Review with Tensor Decomposition for Spam Detection—0
Legal Sentiment Analysis and Opinion Mining (LSAOM): Assimilating Advances in Autonomous AI Legal Reasoning—0
Leveraging Auxiliary Tasks for Document-Level Cross-Domain Sentiment Classification—0
Leveraging Foreign Language Labeled Data for Aspect-Based Opinion Mining—0
Leveraging Multiple Domains for Sentiment Classification—0
Lexical Based Semantic Orientation of Online Customer Reviews and Blogs—0
Lifelong-RL: Lifelong Relaxation Labeling for Separating Entities and Aspects in Opinion Targets—0
Lingmotif-lex: a Wide-coverage, State-of-the-art Lexicon for Sentiment Analysis—0
Linking Tweets to News: A Framework to Enrich Short Text Data in Social Media—0
Lost in Discussion? Tracking Opinion Groups in Complex Political Discussions by the Example of the FOMC Meeting Transcriptions—0
LyS at SemEval-2016 Task 4: Exploiting Neural Activation Values for Twitter Sentiment Classification and Quantification—0
Machine Learning Algorithms for Depression Detection and Their Comparison—0
Machine Learning based English Sentiment Analysis—0
Machine Learning Sentiment Prediction based on Hybrid Document Representation—0
Making Sense of Massive Amounts of Scientific Publications: the Scientific Knowledge Miner Project—0
Managing Multiword Expressions in a Lexicon-Based Sentiment Analysis System for Spanish—0
Manovaad: A Novel Approach to Event Oriented Corpus Creation Capturing Subjectivity and Focus—0
MDSENT at SemEval-2016 Task 4: A Supervised System for Message Polarity Classification—0
Meta-Classifiers Easily Improve Commercial Sentiment Detection Tools—0
Metaphor Identification as Interpretation—0
Mining Argumentative Structure from Natural Language text using Automatically Generated Premise-Conclusion Topic Models—0
Mining Fine-grained Opinion Expressions with Shallow Parsing—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
Mining of product reviews at aspect level—0
Mining Opinion Words and Opinion Targets in a Two-Stage Framework—0
Mining Public Opinion about Economic Issues: Twitter and the U.S. Presidential Election—0
Mining Software Quality from Software Reviews: Research Trends and Open Issues—0
Mining Tweets that refer to TV programs with Deep Neural Networks—0
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