Results 61 to 70 of about 23,355,349 (344)
Relational Graph Attention Network for Aspect-based Sentiment Analysis [PDF]
Annual Meeting of the Association for Computational Linguistics, 2020 Aspect-based sentiment analysis aims to determine the sentiment polarity towards a specific aspect in online reviews. Most recent efforts adopt attention-based neural network models to implicitly connect aspects with opinion words.
Kai Wang +4 more
semanticscholar +1 more source
Artificial Intelligence and Sentiment Analysis: A Review in Competitive Research
De Computis, 2023 As part of a business strategy, effective competitive research helps businesses outperform their competitors and attract loyal consumers. To perform competitive research, sentiment analysis may be used to assess interest in certain themes, uncover market
Hamed Taherdoost, Mitra Madanchian
semanticscholar +1 more source
Text sentiment visual analysis technology and its application in humanities
大数据, 2022 Sentiment analysis is the mining of information sentiment tendency, which is mainly used for public opinion monitoring, commodity review analysis, and information retrieval.With the rapid development of social media, the volume of text data has shown ...
Lingli ZHANG +6 more
doaj
Challenges and Issues in Sentiment Analysis: A Comprehensive Survey
IEEE Access, 2023 Sentiment analysis, a specialization of natural language processing (NLP), has witnessed significant progress since its emergence in the late 1990s, owing to the swift advances in deep learning techniques and the abundance of vast digital datasets ...
Nilaa Raghunathan +1 more
doaj +1 more source
Sentiment Lexicon Adaptation with Context and Semantics for the Social Web [PDF]
, 2017 Sentiment analysis over social streams offers governments and organisations a fast and effective way to monitor the publics' feelings towards policies, brands, business, etc.
Bollen +7 more
core +1 more source
, 2017 Social networks are the main resources to gather information about people’s opinion and sentiments towards different topics as they spend hours daily on social media and share their opinion. In this technical paper, we show the application of sentimental analysis and how to connect to Twitter and run sentimental analysis queries.
Hamid Bagheri, Md Johirul Islam
openaire +2 more sources
Sentiment analysis: A survey on design framework, applications and future scopes
Artificial Intelligence Review, 2023 Sentiment analysis is a solution that enables the extraction of a summarized opinion or minute sentimental details regarding any topic or context from a voluminous source of data.
Monali Bordoloi, S. Biswas
semanticscholar +1 more source
Sentiment Analysis and Sarcasm Detection using Deep Multi-Task Learning
Wireless personal communications, 2023 Social media platforms such as Twitter and Facebook have become popular channels for people to record and express their feelings, opinions, and feedback in the last decades.
Yik Yang Tan +4 more
semanticscholar +1 more source
Micro-Blog Sentiment Analysis Based on Linguistic Context [PDF]
Jisuanji gongcheng, 2017 Traditional sentiment analysis method only considers a single text,and the recognition rate of sentiment polarity is low when the micro-blog text is short and colloquial.In order to solve this problem,a kind of sentiment analysis method combined with ...
QIN Feng,WANG Heng,ZHENG Xiao,WANG Xiujun
doaj +1 more source
Improving the performance of lexicon-based review sentiment analysis method by reducing additional introduced sentiment bias. [PDF]
PLoS ONE, 2018 Sentiment analysis is widely studied to extract opinions from user generated content (UGC), and various methods have been proposed in recent literature. However, these methods are likely to introduce sentiment bias, and the classification results tend to
Hongyu Han +4 more
doaj +1 more source