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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 201–250 of 630 papers

TitleStatusHype
Determing Trustworthiness in E-Commerce Customer Reviews—0
Determining sentiment in citation text and analyzing its impact on the proposed ranking index—0
Building and Modelling Multilingual Subjective Corpora—0
Dialect Identification through Adversarial Learning and Knowledge Distillation on Romanian BERT—0
DIEGOLab: An Approach for Message-level Sentiment Classification in Twitter—0
Disambiguating False-Alarm Hashtag Usages in Tweets for Irony Detection—0
Building and Exploring Semantic Equivalences Resources—0
Discovering Airline-Specific Business Intelligence from Online Passenger Reviews: An Unsupervised Text Analytics Approach—0
Automatically Annotating A Five-Billion-Word Corpus of Japanese Blogs for Affect and Sentiment Analysis—0
Discovering Topical Aspects in Microblogs—0
Distributed Representations for Building Profiles of Users and Items from Text Reviews—0
Don’t Burst Blindly: For a Better Use of Natural Language Processing to Fight Opinion Bubbles in News Recommendations—0
DRANZIERA: An Evaluation Protocol For Multi-Domain Opinion Mining—0
DSIC-ELIRF at SemEval-2016 Task 4: Message Polarity Classification in Twitter using a Support Vector Machine Approach—0
ECNU: Expression- and Message-level Sentiment Orientation Classification in Twitter Using Multiple Effective Features—0
ECNU: Extracting Effective Features from Multiple Sequential Sentences for Target-dependent Sentiment Analysis in Reviews—0
ECO v1: Towards Event-Centric Opinion Mining—0
Effective Greedy Inference for Graph-based Non-Projective Dependency Parsing—0
+/-EffectWordNet: Sense-level Lexicon Acquisition for Opinion Inference—0
ELiRF-UPV at SemEval-2017 Task 4: Sentiment Analysis using Deep Learning—0
EMA at SemEval-2018 Task 1: Emotion Mining for Arabic—0
EmoEvent: A Multilingual Emotion Corpus based on different Events—0
Automatic Identification of Arabic Language Varieties and Dialects in Social Media—0
Emotion Detection and Analysis on Social Media—0
EmpaTweet: Annotating and Detecting Emotions on Twitter—0
Enhancing Lexicon-Based Review Classification by Merging and Revising Sentiment Dictionaries—0
A Vector Space Approach for Aspect Based Sentiment Analysis—0
An combined sentiment classification system for SIGHAN-8—0
Entities' Sentiment Relevance—0
Entity Centric Opinion Mining from Blogs—0
Entity-centric Sentiment Analysis on Twitter data for the Potuguese Language—0
Entity/Event-Level Sentiment Detection and Inference—0
État de l'art : L'influence du domaine sur la classification de l'opinion (State of the Art : Influence of Domain on Opinion Classification) [in French]—0
Etude de diff\'erentes strat\'egies d'adaptation \`a un nouveau domaine en fouille d'opinion (Study of various strategies for adapting an opinion classifier to a new domain) [in French]—0
Evaluation of different strategies for domain adaptation in opinion mining—0
Examining the Impact of Coreference Resolution on Quote Attribution—0
Annotating the Interaction between Focus and Modality: the case of exclusive particles—0
Expert Opinion Extraction from a Biomedical Database—0
Exploiting Domain Knowledge in Aspect Extraction—0
Exploration of the possibility of infusing Social Media Trends into generating NFT Recommendations—0
Exploring the Power of Romanian BERT for Dialect Identification—0
Extracting and Normalizing Entity-Actions from Users' Comments—0
A Japanese Corpus for Analyzing Customer Loyalty Information—0
Extracting Argument and Domain Words for Identifying Argument Components in Texts—0
Extracting Aspect Specific Opinion Expressions—0
Extracting Condition-Opinion Relations Toward Fine-grained Opinion Mining—0
Building and exploiting a French corpus for sentiment analysis (Construction et exploitation d'un corpus fran pour l'analyse de sentiment) [in French]—0
Extracting Opinion Targets and Opinion Words from Online Reviews with Graph Co-ranking—0
Extraction of unmarked quotations in Newspapers—0
Bootstrapping an Unsupervised Approach for Classifying Agreement and Disagreement—0
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