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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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Multilevel Sentiment Analysis In Arabic [PDF]
2019 IEEE 7th Palestinian International Conference on Electrical and Computer Engineering (PICECE), 2019 In this study, we aimed to improve the performance results of Arabic sentiment analysis. This can be achieved by investigating the most successful machine learning method and the most useful feature vector to classify sentiments in both term and document levels into two (positive or negative) categories.
Ahmed Nassar 0002, Ebru Akcapinar Sezer
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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
Proceedings of the Language Resources and Evaluation Conference, 2010 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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Adaptive sentiment analysis [PDF]
, 2019 Domain dependency is one of the most challenging problems in the field of sentiment analysis. Although most sentiment analysis methods have decent performance if they are targeted at a specific domain and writing style, they do not usually work well with texts that are originated outside of their domain boundaries.
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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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