Results 11 to 20 of about 50,760 (261)
Chinese Text Sentiment Analysis Based on Extended Sentiment Dictionary
IEEE Access, 2019 The method of text sentiment analysis based on sentiment dictionary often has the problems that the sentiment dictionary doesn't contain enough sentiment words or omits some field sentiment words.
Guixian Xu, Ziheng Yu, Yueting Meng
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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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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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Arabic Aspect-Based Sentiment Analysis: A Systematic Literature Review
IEEE Access, 2021 Recently sentiment analysis in Arabic has attracted much attention from researchers. A modest number of studies have been conducted on Arabic sentiment analysis.
Ruba Obiedat +3 more
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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 Difficulty in Aspect-Based Sentiment Analysis
Mathematics, 2023 Subjectivity is a key aspect of natural language understanding, especially in the context of user-generated text and conversational systems based on large language models. Natural language sentences often contain subjective elements, such as opinions and
Adrian-Gabriel Chifu +1 more
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Sensors, 2022 As a research hotspot in the field of natural language processing (NLP), sentiment analysis can be roughly divided into explicit sentiment analysis and implicit sentiment analysis.
Meikang Chen +4 more
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Chinese Implicit Sentiment Classification Combining Multiple Linguistic Features [PDF]
Jisuanji kexue, 2023 Sentiment analysis has always been a hot research direction in natural language processing.Implicit sentiment classification refers to the task of sentiment classification without explicit sentiment words.At present,implicit sentiment analysis is still ...
LU Liangqian, WANG Zhongqing, ZHOU Guodong
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Sentiment Analysis by Capsules [PDF]
Proceedings of the 2018 World Wide Web Conference on World Wide Web - WWW '18, 2018 In this paper, we propose RNN-Capsule, a capsule model based on Recurrent Neural Network (RNN) for sentiment analysis. For a given problem, one capsule is built for each sentiment category e.g., 'positive' and 'negative'. Each capsule has an attribute, a state, and three modules: representation module, probability module, and reconstruction module. The
Yequan Wang +4 more
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Is there a language of sentiment? An analysis of lexical resources for sentiment analysis [PDF]
Language Resources and Evaluation, 2013 In recent years, sentiment analysis (SA) has emerged as a rapidly expanding field of application and research in the area of information retrieval. In order to facilitate the task of selecting lexical resources for automated SA systems, this paper sets out a detailed analysis of four widely used sentiment lexica.
Ann Devitt, Khurshid Ahmad 0001
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