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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
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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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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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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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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 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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Iraqi Journal for Computer Science and Mathematics, 2022 Now days, in many real life applications, the sentiment analysis plays very vital role for automatic prediction of human being activities especially on online social networks (OSNs). Therefore since from last decade, the research on opinion mining and
Mohammed Ibrahim Al-mashhadani +3 more
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A Comprehensive Survey on Sentiment Analysis Techniques
International Journal of Technology, 2023 Sentiment analysis is a natural language processing (NLP) technique used to decide if the underlying sentiment is positive, negative, or neutral. Subjective information from the text can be extracted using sentiment analysis by recognizing its context
Farhan Aftab +6 more
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