MyJournals Home  

RSS FeedsSustainability, Vol. 11, Pages 917: Detecting Indicators for Startup Business Success: Sentiment Analysis Using Text Data Mining (Sustainability)


15 february 2019 01:00:04

Sustainability, Vol. 11, Pages 917: Detecting Indicators for Startup Business Success: Sentiment Analysis Using Text Data Mining (Sustainability)

The main aim of this study is to identify the key factors in User Generated Content (UGC) on the Twitter social network for the creation of successful startups, as well as to identify factors for sustainable startups and business models. New technologies were used in the proposed research methodology to identify the key factors for the success of startup projects. First, a Latent Dirichlet Allocation (LDA) model was used, which is a state-of-the-art thematic modeling tool that works in Python and determines the database topic by analyzing tweets for the #Startups hashtag on Twitter (n = 35.401 tweets). Secondly, a Sentiment Analysis was performed with a Supervised Vector Machine (SVM) algorithm that works with Machine Learning in Python. This was applied to the LDA results to divide the identified startup topics into negative, positive, and neutral sentiments. Thirdly, a Textual Analysis was carried out on the topics in each sentiment with Text Data Mining techniques using Nvivo software. This research has detected that the topics with positive feelings for the identification of key factors for the startup business success are startup tools, technology-based startup, the attitude of the founders, and the startup methodology development. The negative topics are the frameworks and programming languages, type of job offers, and the business angels` requirements. The identified neutral topics are the development of the business plan, the type of startup project, and the incubator`s and startup`s geolocation. The limitations of the investigation are the number of tweets in the analyzed sample and the limited time horizon. Future lines of research could improve the methodology used to determine key factors for the creation of successful startups and could also study sustainable issues. Digg Facebook Google StumbleUpon Twitter
29 viewsCategory: Ecology
Sustainability, Vol. 11, Pages 918: Sustainable and Resilient Urban Water Systems: The Role of Decentralization and Planning (Sustainability)
Sustainability, Vol. 11, Pages 916: Water Services Sustainability: Institutional Arrangements and Shared Responsibilities (Sustainability)
blog comments powered by Disqus
The latest issues of all your favorite science journals on one page


Register | Retrieve



Use these buttons to bookmark us: Digg Facebook Google StumbleUpon Twitter

Valid HTML 4.01 Transitional
Copyright © 2008 - 2020 Indigonet Services B.V.. Contact: Tim Hulsen. Read here our privacy notice.
Other websites of Indigonet Services B.V.: Nieuws Vacatures News Tweets Travel Photos Nachrichten Indigonet Finances Leer Mandarijn