Results 121 to 130 of about 633,534 (237)

Sentiment Analysis

open access: yesJournal of Software, 2010
Qin Bing, Yanyan Zhao, Liu Ting
openaire   +2 more sources

Hybrid Deep Neural Network with Domain Knowledge for Text Sentiment Analysis

open access: yesMathematics
Sentiment analysis (SA) analyzes online data to uncover insights for better decision-making. Conventional text SA techniques are effective and easy to understand but encounter difficulties when handling sparse data.
Jawad Khan   +4 more
doaj   +1 more source

A multimodal approach to cross-lingual sentiment analysis with ensemble of transformer and LLM

open access: yesScientific Reports
Sentiment 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   +1 more source

Sentiment analysis methods, applications, and challenges: A systematic literature review

open access: yesJournal of King Saud University: Computer and Information Sciences
With the expansion of Internet-based applications, the number of comments shows explosive growth. Analyzing the attitudes and emotions behind comments provides powerful assistance for businesses, governments, and scholars.
Yanying Mao, Qun Liu, Yu Zhang
doaj   +1 more source

Multi-aspect Sentiment Analysis with Topic Models [PDF]

open access: green, 2011
Bin Lu   +3 more
openalex   +1 more source

Identifying and Mitigating Gender Bias in Social Media Sentiment Analysis: A Post-Training Approach on Example of the 2023 Morocco Earthquake

open access: yesInformation
Sentiment analysis is a cornerstone in many contextual data analyses, from opinion mining to public discussion analysis. Gender bias is one of the well-known issues in sentiment analysis models, which can produce different results for the same text ...
Mohammad Reza Yeganegi   +2 more
doaj   +1 more source

Sentiment analysis on Twitter

open access: yes, 2017
In recent years more and more people have been connecting with Social Networks. One of the most used is Twitter. This huge amount of information is attracting the interest of companies. One reason is that this huge source of information can be used to detect public opinion about their brands and thus improve their business values ...
openaire   +1 more source

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