Results 1 to 10 of about 29,458 (117)

TWITTER SENTIMENT ANALYSIS [PDF]

open access: yesi-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.
openaire   +5 more sources

Sentiment Analysis [PDF]

open access: yesInternational 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
openaire   +2 more sources

Is there a language of sentiment? An analysis of lexical resources for sentiment analysis [PDF]

open access: yesLanguage 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
openaire   +4 more sources

Sentiment Analysis by Capsules [PDF]

open access: yesProceedings 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
openaire   +3 more sources

Textual Analysis and Sentiment Analysis in Accounting [PDF]

open access: yesRevista 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
openaire   +6 more sources

Sentiment Analysis in Turkish [PDF]

open access: yes, 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
openaire   +4 more sources

Survey on visual sentiment analysis [PDF]

open access: yesIET 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
openaire   +4 more sources

Diabetes on Twitter: A Sentiment Analysis [PDF]

open access: yesJournal 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
openaire   +5 more sources

Multimodal Sentiment Analysis: A Survey

open access: yesDisplays, 2023
It needs to be returned for major ...
Songning Lai   +4 more
openaire   +2 more sources

Sentiment Analysis for Social Media [PDF]

open access: yesApplied Sciences, 2019
Sentiment analysis has become a key technology to gain insight from social networks. The field has reached a level of maturity that paves the way for its exploitation in many different fields such as marketing, health, banking or politics. The latest technological advancements, such as deep learning techniques, have solved some of the traditional ...
Carlos A. Iglesias, Antonio Moreno
openaire   +4 more sources

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