Results 1 to 10 of about 50,760 (261)
A Perspective on Sentiment Analysis
CoRR, 2016 Opinion;Feature Engineering; Sentiment;Subjective Sentence;Objective;Contextual Polarity;Sentiment Lexicon;Classification;Machine ...
K. Paramesha, K. C. Ravishankar
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Sentiment Analysis for Exploratory Data Analysis
The Programming Historian, 2018 In this lesson you will learn to conduct 'sentiment analysis' on texts and to interpret the results. This is a form of exploratory data analysis based on natural language processing.
Zoë Wilkinson Saldaña
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Enhancing implicit sentiment analysis via knowledge enhancement and context information
Complex & Intelligent SystemsSentiment analysis (SA) is a vital research direction in natural language processing (NLP). Compared with the widely-concerned explicit sentiment analysis, implicit sentiment analysis (ISA) is more challenging and rarely studied due to the lack of ...
Yanying Mao, Qun Liu, Yu Zhang
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Creating an Annotated Corpus for Aspect-Based Sentiment Analysis in Swedish
Digital Humanities in the Nordic and Baltic Countries Publications, 2020 Aspect-Based Sentiment Analysis constitutes a more fine-grained alternative to traditional sentiment analysis at sentence level. In addition to a sentiment value denoting how positive or negative a particular opinion or sentiment expression is, it ...
Jacobo Rouces +2 more
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CoRR, 2014 Sentiment analysis (also known as opinion mining) refers to the use of natural language processing, text analysis and computational linguistics to identify and extract subjective information in source materials. Mining opinions expressed in the user generated content is a challenging yet practically very useful problem.
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Sentiment Analysis in the News
CoRR, 2013 Recent years have brought a significant growth in the volume of research in sentiment analysis, mostly on highly subjective text types (movie or product reviews). The main difference these texts have with news articles is that their target is clearly defined and unique across the text.
Alexandra Balahur +7 more
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Deep Bidirectional LSTM Network Learning-Based Sentiment Analysis for Arabic Text
Journal of Intelligent Systems, 2020 Sentiment analysis aims to predict sentiment polarities (positive, negative or neutral) of a given piece of text. It lies at the intersection of many fields such as Natural Language Processing (NLP), Computational Linguistics, and Data Mining. Sentiments
Elfaik Hanane, Nfaoui El Habib
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A Training-Optimization-Based Method for Constructing Domain-Specific Sentiment Lexicon
Complexity, 2021 Sentiment analysis has been widely used in text mining of social media to discover valuable information from user reviews. Sentiment lexicon is an essential tool for sentiment analysis.
Maokang Du, Xiaoguang Li, Longyan Luo
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Refined Global Word Embeddings Based on Sentiment Concept for Sentiment Analysis
IEEE Access, 2021 Sentiment Analysis is an important research direction of natural language processing, and it is widely used in politics, news and other fields. Word embeddings play a significant role in sentiment analysis.
Yabing Wang +5 more
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, 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
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