How to Perform Investment Sentiment Analysis on Twitter

//, Academic Research Insight/How to Perform Investment Sentiment Analysis on Twitter

How to Perform Investment Sentiment Analysis on Twitter

Company Event Popularity for Financial Markets using Twitter and Sentiment Analysis

  • Mariana Daniel, Rui Ferreira Neves, Nuno Horta
  • Expert Systems with Applications, 2017
  • A version of this paper can be found here
  • Want to read our summaries of academic finance papers? Check out our Academic Research Insight category.

What are the research questions?

By studying tweets on thirty companies in the Dow Jones Index, the authors ask the following research question:
  1. Is it possible to develop a system for the detection and discovery of the popularity of special events on Twitter that may influence the financial markets?

What are the Academic Insights?

The system devised by the authors is composed of five steps:

  • Identification of the financial community by identifying relevant users ( those with more followers than users followed) based on 10 influencers
  • Filtering of the tweets based on Investopedia financial dictionary
  • Definition of sentiment by using four text analysis tools ( MySentiment Api, TextBlob, SentiStrenght and Affin)
  • Normalization by volume
  • Event detection

The authors study over 12 million tweets from 9,000 users over 710 days ( from September 2013 and September 2015). Of these tweets, only 192,935 (those with content relevant to the financial markets) are analyzed.

The three case studies presented in the paper (Apple, Microsoft and Walmart) are examples of the efficiency of the model in dealing with massive amounts of data and very high levels of noise typical of social networks.

Why does it matter?

While this is not the typical paper that researches relations between data and market performance, it shows the details of how to approach sentiment analysis on Twitter starting from the definition of a relevant community of users down to the definition of a popular company event.

The Most Important Chart from the Paper:

The results are hypothetical results and are NOT an indicator of future results and do NOT represent returns that any investor actually attained. Indexes are unmanaged, do not reflect management or trading fees, and one cannot invest directly in an index.


Abstract

The growing number of Twitter users makes it a valuable source of information to study what is happening right now. Users often use Twitter to report real-life events. Here we are only interested in following the financial community. This paper focuses on detecting events popularity through sentiment analysis of tweets published by the financial community on the Twitter universe. The detection of events popularity on Twitter makes this a non-trivial task due to noisy content that often are the tweets. This work aims to filter out all the noisy tweets in order to analyze only the tweets that influence the financial market, more specifically the thirty companies that compose the Dow Jones Average. To perform these tasks, in this paper it is proposed a methodology that starts from the financial community of Twitter and then filters the collected tweets, makes the sentiment analysis of the tweets and finally detects the important events in the life of companies.


  • The views and opinions expressed herein are those of the author and do not necessarily reflect the views of Alpha Architect, its affiliates or its employees. Our full disclosures are available here. Definitions of common statistics used in our analysis are available here (towards the bottom).
  • Join thousands of other readers and subscribe to our blog.
  • This site provides NO information on our value ETFs or our momentum ETFs. Please refer to this site.

Elisabetta Basilico, PhD, CFA
Dr. Elisabetta Basilico is a seasoned investment professional with an expertise in "turning academic insights into investment strategies." Research is her life's work and by combing her scientific grounding in quantitative investment management with a pragmatic approach to business challenges, she’s helped several institutional investors achieve stable returns from their global wealth portfolios. Her expertise spans from asset allocation to active quantitative investment strategies. Holder of the Charter Financial Analyst since 2007 and a PhD from the University of St. Gallen in Switzerland, she has experience in teaching and research at various international universities and co-author of articles published in peer-reviewed journals. She and co-author Tommi Johnsen are currently writing a book on research-backed investment ideas. You can find additional information at Academic Insights on Investing.
Yes No
This website uses cookies and third party services. Settings Ok

Cookies

We use “cookies” on this site. A cookie is a piece of data stored on a site visitor’s hard drive to help us improve your access to our site and identify repeat visitors to our site. For instance, when we use a cookie to identify you, you would not have to log in a password more than once, thereby saving time while on our site. Cookies can also enable us to track and target the interests of our users to enhance the experience on our site. Usage of a cookie is in no way linked to any personally identifiable information on our site. Some of our business partners may use cookies on our site (for example, advertisers). However, we have no access to or control over these cookies.

Embedded Content

Articles on this Site may include embedded content (e.g. videos, images, articles, etc.). Embedded content from other websites behaves in the exact same way as if the visitor has visited the other website.These websites may collect data about you, use cookies, embed additional third-party tracking, and monitor your interaction with that embedded content, including tracking your interaction with the embedded content if you have an account and are logged in to that website.