• Corpus ID: 13528530

Sentiment analysis of twitter data

@article{Bagheri2017SentimentAO,
  title={Sentiment analysis of twitter data},
  author={Hamid Bagheri and Md Johirul Islam},
  journal={ArXiv},
  year={2017},
  volume={abs/1711.10377}
}
Social networks are the main resources to gather information about people's opinion and sentiments towards different topics as they spend hours daily on social media and share their opinion. [] Key Result We realized that the neutral sentiments for tweets are significantly high which clearly shows the limitations of the current works.

Figures and Tables from this paper

Towards Automatically Extracting Contextual Valence Shifters in Reviews of Saudi Universities

  • M. Alruily
  • Computer Science
    2019 IEEE 9th Symposium on Computer Applications & Industrial Electronics (ISCAIE)
  • 2019
An overview about existence of contextual valence shifters, such as intensifiers, negators, and connectors, in Saudi university reviews in order to seek a method for automatically extracting frequent shifting patterns in text sentiment orientations.

Revealing the reality behind consumers’ participation in WEEE treatment schemes: a mixed method approach

With the enormous population growth and the ever-increasing use of various electronic devices in modern life, the proper disposal of the “Waste Electrical and Electronic Equipment” (WEEE) has been of

References

SHOWING 1-10 OF 21 REFERENCES

Sentiment Analysis of Twitter Data

We examine sentiment analysis on Twitter data. The contributions of this paper are: (1) We introduce POS-specific prior polarity features. (2) We explore the use of a tree kernel to obviate the need

Twitter as a Corpus for Sentiment Analysis and Opinion Mining

This paper shows how to automatically collect a corpus for sentiment analysis and opinion mining purposes and builds a sentiment classifier, that is able to determine positive, negative and neutral sentiments for a document.

Opinion mining and sentiment analysis

This paper aims to undertake a stepwise methodology to determine the effects of an average person's tweets over fluctuation of stock prices of a multinational firm called Samsung Electronics Ltd.

A System for Real-time Twitter Sentiment Analysis of 2012 U.S. Presidential Election Cycle

A system for real-time analysis of public sentiment toward presidential candidates in the 2012 U.S. election as expressed on Twitter, a micro-blogging service, offers a new and timely perspective on the dynamics of the electoral process and public opinion.

Sentiment Analysis and Opinion Mining

  • Lei ZhangB. Liu
  • Computer Science
    Encyclopedia of Machine Learning and Data Mining
  • 2012
This book is a comprehensive introductory and survey text that covers all important topics and the latest developments in the field with over 400 references and is suitable for students, researchers and practitioners who are interested in social media analysis in general and sentiment analysis in particular.

Lexicon-Based Sentiment Analysis of Facebook Comments in Vietnamese Language

A lexicon based method for sentiment analysis with Facebook data for Vietnamese language by focus on two core component in a sentiment system to build Vietnamese emotional dictionary (VED) including 5 sub-dictionaries: noun, verb, adjective, and adverb.

Sentiment analysis of Facebook data using Hadoop based open source technologies

The use of open source technologies for brand sentiment analysis from Facebook data is illustrated and a whole new opportunity for advanced analytics is opened up.

Sentiment Analysis of Short Informal Texts

We describe a state-of-the-art sentiment analysis system that detects (a) the sentiment of short informal textual messages such as tweets and SMS (message-level task) and (b) the sentiment of a word

The Role of Text Pre-processing in Sentiment Analysis

Sentiment analysis in Facebook and its application to e-learning