Language Independent Sentiment Analysis

Social media platforms and online forums generate rapid and increasing amount of textual data. Businesses, government agencies, and media organizations seek to perform sentiment analysis on this rich text data. The results of these analytics are used for adapting marketing strategies, customizing pr...

Full description

Saved in:
Bibliographic Details
Published in:arXiv.org 2020-01
Main Authors: Shakeel, Muhammad Haroon, Alghamidi, Turki, Safi Faizullah, Khan, Imdadullah
Format: Article
Language:English
Subjects:
Contrarian investing
Data mining
Decision analysis
Demographics
Digital media
Government agencies
Sentiment analysis
Texts
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Social media platforms and online forums generate rapid and increasing amount of textual data. Businesses, government agencies, and media organizations seek to perform sentiment analysis on this rich text data. The results of these analytics are used for adapting marketing strategies, customizing products, security and various other decision makings. Sentiment analysis has been extensively studied and various methods have been developed for it with great success. These methods, however apply to texts written in a specific language. This limits applicability to a limited demographic and a specific geographic region. In this paper we propose a general approach for sentiment analysis on data containing texts from multiple languages. This enables all the applications to utilize the results of sentiment analysis in a language oblivious or language-independent fashion.
ISSN:2331-8422
DOI:10.48550/arxiv.1912.11973