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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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Sentiment analysis: text, pre-processing, reader views and cross domains [PDF]
, 2015 This thesis was submitted for the award of Doctor of Philosophy and was awarded by Brunel University LondonSentiment analysis has emerged as a field that has attracted a significant amount of attention since it has a wide variety of applications that ...
Haddi, Emma
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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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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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TWITTER SENTIMENT ANALYSIS [PDF]
i-manager's Journal on Computer Science, 2021 In this report, address the problem of sentiment classification on twitter dataset. used a number of machine learning and deep learning methods to perform sentiment analysis. In the end, used a majority vote ensemble method with 5 of our best models to achieve the classification accuracy of 83.58% on kaggle public leaderboard.
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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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HMTL: Heterogeneous Modality Transfer Learning for Audio-Visual Sentiment Analysis
IEEE Access, 2020 Multimodal sentiment analysis is an extended approach to traditional language-based sentiment analysis, which uses other relevant modality data. Multimodal sentiment analysis usually applies visual, textual, and acoustic representations for sentiment ...
Sanghyun Seo, Sanghyuck Na, Juntae Kim
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Human-Centric Intelligent Systems, 2023 This research paper presents a novel approach for recommending products to customers based on their cared aspects by performing sentiment analysis on customer feedback.
Nimesh Bali Yadav
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Performance Investigation of Features Extraction and Classification Approaches for Sentiment Analysis Systems [PDF]
IJCI International Journal of Computers and Information, 2022 Data pre-processing and feature extraction of micro-blogging data in sentiment analysis systems becomes an effective field of analysis. Object identification, negation expressions, sarcasm, outlines, misspellings are the major issues faced during ...
walid atwa +2 more
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A global optimization approach to multi-polarity sentiment analysis. [PDF]
PLoS ONE, 2015 Following the rapid development of social media, sentiment analysis has become an important social media mining technique. The performance of automatic sentiment analysis primarily depends on feature selection and sentiment classification.
Xinmiao Li, Jing Li, Yukeng Wu
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