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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 401–450 of 630 papers

TitleStatusHype
Positive Unlabeled Learning for Deceptive Reviews Detection—0
PoSTWITA-UD: an Italian Twitter Treebank in Universal Dependencies—0
PotTS at SemEval-2016 Task 4: Sentiment Analysis of Twitter Using Character-level Convolutional Neural Networks.—0
Predicting Brexit: Classifying Agreement is Better than Sentiment and Pollsters—0
Predicting Stance in Ideological Debate with Rich Linguistic Knowledge—0
Prior Polarity Lexical Resources for the Italian Language—0
Problematic Cases in the Annotation of Negation in Spanish—0
Product Feature Mining: Semantic Clues versus Syntactic Constituents—0
Product Name Classification for Product Instance Distinction—0
Propagation de polarit\'es dans des familles de mots : impact de la morphologie dans la construction d'un lexique pour l'analyse de sentiments (Spreading Polarities among Word Families: Impact of Morphology on Building a Lexicon for Sentiment Analysis) [in French]—0
Public Apologies in India - Semantics, Sentiment and Emotion—0
QANA: LLM-based Question Generation and Network Analysis for Zero-shot Key Point Analysis and Beyond—0
RA-SR: Using a ranking algorithm to automatically building resources for subjectivity analysis over annotated corpora—0
RED: A Novel Dataset for Romanian Emotion Detection from Tweets—0
Reducing Over-generation Errors for Automatic Keyphrase Extraction using Integer Linear Programming—0
Reducing Over-Weighting in Supervised Term Weighting for Sentiment Analysis—0
Regularizing Text Categorization with Clusters of Words—0
Relational Features in Fine-Grained Opinion Analysis—0
Representation Learning for Aspect Category Detection in Online Reviews—0
ResTS : Syst\`eme de R\'esum\'e Automatique des Textes d'Opinions bas\'e sur Twitter et SentiWordNet (System of Customer Review Summarization using Twitter and SentiWordNet) [in French]—0
Review Mining for Feature Based Opinion Summarization and Visualization—0
Romanization-based Approach to Morphological Analysis in Korean SMS Text Processing—0
Roman Urdu Opinion Mining System (RUOMiS)—0
SANA : Sentiment Analysis on Newspapers comments in Algeria—0
Sarcastic Soulmates: Intimacy and irony markers in social media messaging—0
Scalable Visualisation of Sentiment and Stance—0
Scope of Large Language Models for Mining Emerging Opinions in Online Health Discourse—0
Seeing through Deception: A Computational Approach to Deceit Detection in Written Communication—0
Selective Annotation of Sentence Parts: Identification of Relevant Sub-sentential Units—0
Self-training through Classifier Disagreement for Cross-Domain Opinion Target Extraction—0
Semantic Knowledge Discovery and Discussion Mining of Incel Online Community: Topic modeling—0
SenSALDO: Creating a Sentiment Lexicon for Swedish—0
SentiHood: Targeted Aspect Based Sentiment Analysis Dataset for Urban Neighbourhoods—0
Sentiment Analysis : A Literature Survey—0
Sentiment analysis and opinion mining on educational data: A survey—0
Sentiment analysis and opinion mining on E-commerce site—0
Sentiment Analysis: A Survey—0
Sentiment Analysis in the News—0
Sentiment Analysis of Arabic Tweets Using Semantic Resources—0
Sentiment Analysis of German Twitter—0
Sentiment Analysis of Hindi Reviews based on Negation and Discourse Relation—0
Sentiment Analysis of Reviews: Should we analyze writer intentions or reader perceptions?—0
Sentiment Analysis of Tweets in Three Indian Languages—0
Sentiment Analysis of Twitter Data: A Survey of Techniques—0
Sentiment analysis on conversational texts—0
Sentiment Analysis on Customer Responses—0
Sentiment Analysis On Indian Indigenous Languages: A Review On Multilingual Opinion Mining—0
Sentiment analysis on Italian tweets—0
Sentiment Analysis on YouTube: A Brief Survey—0
Sentiment Analysis Using Collaborated Opinion Mining—0
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