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Sentiment Analysis with 'syuzhet' using R
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
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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Sentiment Difficulty in Aspect-Based Sentiment Analysis
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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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]
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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A Survey on Aspect-Based Sentiment Analysis: Tasks, Methods, and Challenges [PDF]
As an important fine-grained sentiment analysis problem, aspect-based sentiment analysis (ABSA), aiming to analyze and understand people's opinions at the aspect level, has been attracting considerable interest in the last decade.
Wenxuan Zhang +4 more
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A Sentimental Education: Sentiment Analysis Using Subjectivity Summarization Based on Minimum Cuts [PDF]
Sentiment analysis seeks to identify the viewpoint(s) underlying a text span; an example application is classifying a movie review as "thumbs up" or "thumbs down".
B. Pang, Lillian Lee
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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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Dual Graph Convolutional Networks for Aspect-based Sentiment Analysis
Aspect-based sentiment analysis is a fine-grained sentiment classification task. Recently, graph neural networks over dependency trees have been explored to explicitly model connections between aspects and opinion words.
Ruifan Li +5 more
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Enhancing Financial Sentiment Analysis via Retrieval Augmented Large Language Models [PDF]
Financial sentiment analysis is critical for valuation and investment decision-making. Traditional NLP models, however, are limited by their parameter size and the scope of their training datasets, which hampers their generalization capabilities and ...
Boyu Zhang +4 more
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