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REST Journal on Data Analytics and Artificial IntelligenceSentiment Analysis, also known as opinion mining, is a Natural Language Processing (NLP) technique used to identify, extract, and classify emotions expressed in textual data. The purpose of this research is to analyze large volumes of user-generated content—such as tweets, reviews, and comments—to determine whether the expressed sentiment is positive ...
Charlotte Nirmalani Gunawardena +2 more
+12 more sources
Mobile Sentiment Analysis [PDF]
, 2012 Mobile devices play a significant part in a user’s communication methods and much data that they read and write is received and sent via mobile phones, for instance SMS messages, e-mails, Twitter tweets and social media networking feeds. One of the main goals is to make people aware of how much negative and positive content they read and ...
Chambers, L. +3 more
openaire +4 more sources
International Journal of Trend in Scientific Research and Development, 2019 Prof. Richa Mehra +2 more
+6 more sources
Encyclopedia of Social Network Analysis and Mining, 2014 Recent advances in machine learning have led to computer systems that are human-like in behaviour. Sentiment analysis, the automatic determination of emotions in text, is allowing us to capitalize on substantial previously unattainable opportunities in commerce, public health, government policy, social sciences, and art.
Vinita Silaparasetty
semanticscholar +5 more sources
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
doaj +2 more sources
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
doaj +1 more source
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
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
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
doaj +1 more source