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Sentiment Analysis and Opinion Mining [PDF]
Synthesis Lectures on Human Language Technologies, 2012 Sentiment analysis and opinion mining is the field of study that analyzes people's opinions, sentiments, evaluations, attitudes, and emotions from written language.
Bing Liu
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Encyclopedia of Social Network Analysis and MiningSentiment analysis, also known as opinion mining, is the computational process of identifying, extracting, and analyzing subjective information from textual data. It is widely used to determine the emotional tone behind words, classifying the sentiments expressed in a piece of text as positive, negative, or neutral.
Eva Hauthal +3 more
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A multimodal approach to cross-lingual sentiment analysis with ensemble of transformer and LLM
Scientific ReportsSentiment analysis is an essential task in natural language processing that involves identifying a text’s polarity, whether it expresses positive, negative, or neutral sentiments.
Md Saef Ullah Miah +5 more
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TWITTER SENTIMENT ANALYSIS [PDF]
i-manager's Journal on Computer Science, 2021 In this report, address the problem of sentiment classification on twitter dataset. used a number of machine learning and deep learning methods to perform sentiment analysis. In the end, used a majority vote ensemble method with 5 of our best models to achieve the classification accuracy of 83.58% on kaggle public leaderboard.
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Sentiment Analysis in the Era of Large Language Models: A Reality Check [PDF]
NAACL-HLT, 2023 Sentiment analysis (SA) has been a long-standing research area in natural language processing. It can offer rich insights into human sentiments and opinions and has thus seen considerable interest from both academia and industry. With the advent of large
Wenxuan Zhang +4 more
semanticscholar +1 more source
Feasible Sentiment Analysis of Real Time Twitter Data [PDF]
E3S Web of Conferences, 2023 Sentiment analysis plays a significant role in understanding public opinion, trends, and sentiments expressed on social media platforms. In this paper, we focus on performing sentiment analysis on real-time Twitter data to gain insights into the ...
Karuna G. +5 more
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Improving Multimodal Fusion with Hierarchical Mutual Information Maximization for Multimodal Sentiment Analysis [PDF]
Conference on Empirical Methods in Natural Language Processing, 2021 In multimodal sentiment analysis (MSA), the performance of a model highly depends on the quality of synthesized embeddings. These embeddings are generated from the upstream process called multimodal fusion, which aims to extract and combine the input ...
Wei Han, Hui Chen, Soujanya Poria
semanticscholar +1 more source
Fine-grained Sentiment Analysis Based on Combination of Attention and Gated Mechanism [PDF]
Jisuanji kexue, 2021 The fine-grained sentiment analysis is one of the key problems in the area of natural language processing.By learning contextual information of the text to conduct sentiment analysis on specific aspects,it can help users and businesses to better ...
ZHANG Jin, DUAN Li-guo, LI Ai-ping, HAO Xiao-yan
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Sentiment Analysis with 'syuzhet' using R
The Programming Historian, 2023 This lesson teaches you how to obtain and analyse narrative texts for patterns of sentiment and emotion.
Jennifer Isasi
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A Unified Generative Framework for Aspect-based Sentiment Analysis [PDF]
Annual Meeting of the Association for Computational Linguistics, 2021 Aspect-based Sentiment Analysis (ABSA) aims to identify the aspect terms, their corresponding sentiment polarities, and the opinion terms. There exist seven subtasks in ABSA.
Hang Yan +4 more
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