Results 11 to 20 of about 554,719 (285)

Basic tasks of sentiment analysis [PDF]

, 2017
Subjectivity detection is the task of identifying objective and subjective sentences. Objective sentences are those which do not exhibit any sentiment.
DM Blei, E Cambria, E Cambria, E Cambria, E Cambria, E Cambria, G Murray, G Qiu, GE Hinton, GW Taylor, H Tang, I Chaturvedi, L Oneto, R Collobert, R Ortega, S Branavan, S Poria, S Rill, T Wang, X Ding, Y Hu   +20 more
core   +4 more sources

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.
  +9 more sources

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., Gaber, M., Pechenizkiy, M., Tromp, E.   +3 more
core   +4 more sources

Sentiment Analysis [PDF]

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, Diksha Saxena, Shubham Gupta | Joy Joseph   +2 more
openaire   +2 more sources

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
openaire   +4 more sources

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, Aixin Sun, Jialong Han, Ying Liu, Xiaoyan Zhu   +4 more
openaire   +3 more sources

DOES GOOGLE TRANSLATE AFFECT LEXICON-BASED SENTIMENT ANALYSIS OF MALAY SOCIAL MEDIA TEXT? [PDF]

Malaysian Journal of Computing, 2022
There are a lot of sentiment resources for English, however, there are limited resources in a resource-poor language like the Malay language. One approach to improving sentiment analysis is to translate the focus-language text to a resource-rich language
Vanessa Enjop, Rosanita Adnan, Nursuriati Jamil, Sanizah Ahmad, Zarina Zainol, Siti Arpah Ahmad   +5 more
doaj   +1 more source

“Harnessing Customer Feedback for Product Recommendations: An Aspect-Level Sentiment Analysis Framework”

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
doaj   +1 more source

Using sentiment analysis in tourism research: A systematic, bibliometric, and integrative review [PDF]

Journal of Tourism, Heritage & Services Marketing, 2021
Purpose: Sentiment analysis is built from the information provided through text (reviews) to help understand the social sentiment toward their brand, product, or service.
Franciele Cristina Manosso, Thays Cristina Domareski Ruiz   +1 more
doaj   +1 more source

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
openaire   +6 more sources