Sentiment analysis methods in Sentiment analysis methods in Persian text: A survey
Authors
Abstract:
With the explosive growth of social media such as Twitter, reviews on e-commerce website, and comments on news websites, individuals and organizations are increasingly using opinions in these media for their decision making. Sentiment analysis is one of the techniques used to analyze userschr('39') opinions in recent years. Persian language has specific features and thereby requires unique methods and models to be adopted for sentiment analysis, which are different from those in English language. Sentiment analysis in each language has specified prerequisites; hence, the direct use of methods, tools, and resources developed for English language in Persian has its limitations. In this regard, the present study aims to investigate and compare previous sentiment analysis studies on Persian texts and describe views presented in articles published in the last decade. First, the levels, approaches, and tasks for sentiment analysis are described. Then a detailed survey of the applied sentiment analysis methods used for Persian texts is presented, and previous works in this field are discussed. Moreover, the publicly available sentiment analysis resources of Persian texts are studied. As a result, according to the recent development of sentiment analysis field, some issues and challenges not being addressed in Persian texts are listed, and some guidelines are provided for future research on Persian texts.
similar resources
Feature Selection Methods in Persian Sentiment Analysis
With the enormous growth of digital content in internet, various types of online reviews such as product and movie reviews present a wealth of subjective information that can be very helpful for potential users. Sentiment analysis aims to use automated tools to detect subjective information from reviews. Up to now as there are few researches conducted on feature selection in sentiment analysis,...
full textLexicon-based Sentiment Analysis for Persian Text
The vast information related to products and services available online, of both objective and subjective nature, can be used to provide contextualized suggestions and guidance to possible new customers. User feedback and comments left on different shopping websites, portals and social media have become a valuable resource, and text analysis methods have become an invaluable tool to process this...
full textComparison of Short-Text Sentiment Analysis Methods for Croatian
We focus on the task of supervised sentiment classification of short and informal texts in Croatian, using two simple yet effective methods: word embeddings and string kernels. We investigate whether word embeddings offer any advantage over corpusand preprocessing-free string kernels, and how these compare to bag-ofwords baselines. We conduct a comparison on three different datasets, using diff...
full textFeature Extraction and Efficiency Comparison Using Dimension Reduction Methods in Sentiment Analysis Context
Nowadays, users can share their ideas and opinions with widespread access to the Internet and especially social networks. On the other hand, the analysis of people's feelings and ideas can play a significant role in the decision making of organizations and producers. Hence, sentiment analysis or opinion mining is an important field in natural language processing. One of the most common ways to ...
full textA Brief Review of Sentiment Analysis Methods
On today’s fast spreading use of social media, many websites have offer reviews of items like books, cars, mobiles, movies etc. They describe the product in some detail and evaluate them as good/bad, preferred/not preferred, so it is necessary to categorize these reviews in an automated way. Sentiment analysis is one kind of computational technique of Artificial Intelligence. It is the task of ...
full textSentiment Analysis: A Survey
Sentiment analysis (also known as opinion mining) refers to the use of natural language processing, text analysis and computational linguistics to identify and extract subjective information in source materials. Mining opinions expressed in the user generated content is a challenging yet practically very useful problem. This survey would cover various approaches and methodology used in Sentimen...
full textMy Resources
Journal title
volume 19 issue 2
pages 107- 132
publication date 2022-09
By following a journal you will be notified via email when a new issue of this journal is published.
No Keywords
Hosted on Doprax cloud platform doprax.com
copyright © 2015-2023