Analyzing relationship: Twitter tweet frequency with the stock prices of telecom companies

Amrita Shelar, Ching yu Huang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Twitter is a widely used online social media. In this paper, we investigate whether the daily number of tweets that mention any of the telecom companies i.e. Verizon, T-Mobile, AT&T and Sprintvis-à-vis stock prices.The study focuses on correlating data sets of Twitter tweet frequency with the stock prices of telecom Companies; using Statistical Methods: Z-score and Chi-Square - Test of Independence with data visualization.Our results demonstrate the relation between daily numbers of tweets is correlated with that of stock price for Verizon and T-Mobile. Our preliminary results also demonstrate the relation of frequency of tweets with stock prices of each day. Furthermore, it appears that Twitter tweets and stock prices are independent.

Original languageEnglish
Title of host publicationProceedings of 2018 International Conference on Pattern Recognition and Artificial Intelligence, PRAI 2018
PublisherAssociation for Computing Machinery
Pages113-116
Number of pages4
ISBN (Electronic)9781450364829
DOIs
StatePublished - 15 Aug 2018
Event2018 International Conference on Pattern Recognition and Artificial Intelligence, PRAI 2018 - Union, United States
Duration: 15 Aug 201817 Aug 2018

Publication series

NameACM International Conference Proceeding Series

Conference

Conference2018 International Conference on Pattern Recognition and Artificial Intelligence, PRAI 2018
Country/TerritoryUnited States
CityUnion
Period15/08/1817/08/18

Keywords

  • Correlation
  • Stock prices
  • T-Mobile
  • Tweet frequency
  • Verizon

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