CFP last date
22 April 2024
Call for Paper
May Edition
IJCA solicits high quality original research papers for the upcoming May edition of the journal. The last date of research paper submission is 22 April 2024

Submit your paper
Know more
Reseach Article

A Study on Twitter 4j Libraries for Data Acquisition from Tweets

Published on August 2016 by Shilpy Singh, Manjunath T. N, Ashwini .n
National Conference on “Recent Trends in Information Technology"
Foundation of Computer Science USA
NCRTIT2016 - Number 2
August 2016
Authors: Shilpy Singh, Manjunath T. N, Ashwini .n
ce645146-b049-4448-82d6-7cc41d6538ad

Shilpy Singh, Manjunath T. N, Ashwini .n . A Study on Twitter 4j Libraries for Data Acquisition from Tweets. National Conference on “Recent Trends in Information Technology". NCRTIT2016, 2 (August 2016), 29-32.

@article{
author = { Shilpy Singh, Manjunath T. N, Ashwini .n },
title = { A Study on Twitter 4j Libraries for Data Acquisition from Tweets },
journal = { National Conference on “Recent Trends in Information Technology" },
issue_date = { August 2016 },
volume = { NCRTIT2016 },
number = { 2 },
month = { August },
year = { 2016 },
issn = 0975-8887,
pages = { 29-32 },
numpages = 4,
url = { /proceedings/ncrtit2016/number2/25591-1635/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on “Recent Trends in Information Technology"
%A Shilpy Singh
%A Manjunath T. N
%A Ashwini .n
%T A Study on Twitter 4j Libraries for Data Acquisition from Tweets
%J National Conference on “Recent Trends in Information Technology"
%@ 0975-8887
%V NCRTIT2016
%N 2
%P 29-32
%D 2016
%I International Journal of Computer Applications
Abstract

Due to various programming languages & its compatibility issues with databases and utilization some lead to develop libraries for reusable patterns. In this paper, we explore the utilization of Twitter4J libraries which are reliable Twitter APIs and that can be integrated to any applications for data acquisition in any format. It is a cross-platform tool and can be used on several operating systems, with the latest versions of Java Runtime Environment. The utility can be used as it is without any customizations it has no dependencies to any other system on which it runs. The usage of Twitter4J is simple, as all you need to do is copy the JAR file to the preferred classpath and use it. Here we explore the method of using twitter4J libraries for data acquisition for data analytics. This work will help data scientist, data quality analyst and business users.

References
  1. Sanket Sahu Mining Engineering (B. Tech)IIT- Kharagpur, Midnapore West Bengal, India, Suraj Kumar Rout Instrumentation & Engineering (B. Tech)College of Engineering & Technology, Debasmit Mohanty CEO StratLytics Consulting Private Limited," Twitter Sentiment AnalysisA more enhanced way of classification and scoring",2015.
  2. Onifade O. F. W Department of Computer ScienceUniversity of Ibadan Ibadan, Nigeria, Malik M. A. Department of Computer Science University of IbadanIbadan, Nigeria," SASM: A Tool for Sentiment Analysis on Twitter",2015.
  3. Akshi Kumar, Prakhar Dogra and Vikrant Dabas Dept. of Computer EngineeringDelhi Technological UniversityNew Delhi, India," Emotion Analysis of Twitter using Opinion Mining",2015.
  4. Lisa Madlberger Information & Software Engineering Group Vienna University of Technology Vienna, Austria," Predictions based on Twitter -A Critical View on the Research Process" 2014.
  5. Geetika Gautam Department of Computer Science &Engg . Jaypee Institute of Information technology Noida, India, Divakaryadav Department of Computer Science &Engg. Jaypee Institute of Information technology Noida, India," Sentiment Analysis of Twitter Data Using Machine Learning Approaches and Semantic Analysis", 2014
  6. Aliza Sarlan1, Chayanit Nadam2, Shuib Basri3Computer Information Science University Teknologi PETRONASPerak, Malaysia," Twitter Sentiment Analysis",2014.
  7. MalmazRoshanaei and Shivakant MishraDepartment of Computer ScienceUniversity of Colorado, BoulderBoulder, USA, "An Analysis of Positivity and Negativity Attributes of Users in Twitter", 2014.
  8. Hsiang HuiLek and Danny C. C. Poo Department of Information Systems School of Computing, National University of Singapore," Aspect-based Twitter Sentiment Classification",2013.
  9. Seyed-Ali Bahrainian, Andreas Dengel Computer Science Dept. , University Of Kaiserslautern, Germany Knowledge Management Dept. , DFKI, Kaiserslautern, Germany,"Sentiment Analysis and Summarization of TwitterData",2013
  10. J. Spencer, and G. Uchyigit, "Sentimentor: Sentiment Analysis of Twitter Data," Proc. of the 1st Int. Workshop on Sentiment Discovery from Affective Data, pp. 56–66, 2012.
  11. Balakrishnan Gokulakrishnan , Pavalanathan Priyanthan Thiruchittampalam Ragavan, Nadarajah Prasath, AShehan Perera Department of Computer Science and Engineering, University of Moratuwa, Moratuwa, Sri Lanka ," Opinion Mining and Sentiment Analysis on a Twitter Data Stream",2012
  12. ]Alec Go, et. al, Twitter Sentiment Analysis, CS224N - Final Project Report, June 6, 2009.
  13. Twitter4J, Unofficial java library for the Twitter API, http://twitter4j. org/, 2007 Yusuke Yamamoto
Index Terms

Computer Science
Information Sciences

Keywords

Twitter 4j Library Twitter Sentimental Analysis.