Results 11 to 20 of about 606,833 (269)
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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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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International Journal of Trend in Scientific Research and Development, 2019 Sentiment Analysis SA is an ongoing field of research in text mining field. SA sentiment analysis is the computational treatment of opinions, sentiments and text. This s paper deals in a comprehensive overview of the recent updates in this field. Many recently proposed algorithms amend and various SA applications are investigated and presented briefly ...
Prof. Richa Mehra +2 more
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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.
Devitt, Ann, Ahmad, Khurshid
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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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Sentiment Analysis in Turkish [PDF]
, 2018 In this chapter, we give an overview of sentiment analysis problem and present a system to estimate the sentiment of movie reviews in Turkish. Our approach combines supervised learning and lexicon-based approaches, making use of a recently constructed Turkish polarity lexicon called SentiTurkNet.
Gezici, Gizem, Yanıkoğlu, Berrin
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Diabetes on Twitter: A Sentiment Analysis [PDF]
Journal of Diabetes Science and Technology, 2018 Background: Contents published on social media have an impact on individuals and on their decision making. Knowing the sentiment toward diabetes is fundamental to understanding the impact that such information could have on people affected with this health condition and their family members.
Gabarron, Elia +3 more
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Survey on visual sentiment analysis [PDF]
IET Image Processing, 2020 Visual Sentiment Analysis aims to understand how images affect people, in terms of evoked emotions. Although this field is rather new, a broad range of techniques have been developed for various data sources and problems, resulting in a large body of research.
Ortis, Alessandro +2 more
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Textual Analysis and Sentiment Analysis in Accounting [PDF]
Revista de Contabilidad, 2021 A pesar del relativamente escaso uso de técnicas de análisis textual y de análisis del sentimiento en finanzas y contabilidad, éstas tienen un gran potencial en contabilidad, tanto por el elevado volumen de documentos utilizados para la comunicación de información financiera como por el crecimiento en el uso de herramientas digitales y medios de ...
Juan L. Gandía, David Huguet
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Sentiment Analysis, Basic Tasks of [PDF]
, 2017 Subjectivity detection is the task of identifying objective and subjective sentences. Objective sentences are those which do not exhibit any sentiment. So, it is desired for a sentiment analysis engine to find and separate the objective sentences for further analysis, e.g., polarity detection. In subjective sentences, opinions can often be expressed on
Erik Cambria +2 more
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