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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 171–180 of 630 papers

TitleStatusHype
Normalization of Transliterated Words in Code-Mixed Data Using Seq2Seq Model \& Levenshtein Distance—0
Visualizing Group Dynamics based on Multiparty Meeting Understanding—0
Cross-domain aspect extraction for sentiment analysis: a transductive learning approach—0
Global Inference for Aspect and Opinion Terms Co-Extraction Based on Multi-Task Neural Networks—0
DataSEARCH at IEST 2018: Multiple Word Embedding based Models for Implicit Emotion Classification of Tweets with Deep LearningCode0
Arabizi sentiment analysis based on transliteration and automatic corpus annotation—0
EmotiKLUE at IEST 2018: Topic-Informed Classification of Implicit EmotionsCode0
Attentive Gated Lexicon Reader with Contrastive Contextual Co-Attention for Sentiment Classification—0
Sentiment Classification towards Question-Answering with Hierarchical Matching Network—0
Architecture of Text Mining Application in Analyzing Public Sentiments of West Java Governor Election using Naive Bayes Classification—0
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