Unveiling Tesla's News Story: A Text Analysis Project
This project aimed to detect topic patterns in news articles about a specific company, and as an example, 115,736 news articles about Tesla were collected over the past two years in multiple languages from various sources.
New mobile apps to keep an eye on
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What new social media mobile apps are available in 2022?
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Use new social media apps as marketing funnels
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Try out Twitter Spaces or Clubhouse on iPhone
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What app are you currently experimenting on?
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Unveiling Tesla's News Story: A Text Analysis Project
The project aimed to uncover the patterns and trends of news articles published about Tesla in the past 1-2 years. By partnering with Dow Jones, we obtained a comprehensive dataset of 115,736 news articles in both English and German language from 2,324 news sources worldwide. We then utilized text analysis techniques to identify the topics and discussions in which Tesla is involved, as well as to understand the company's story and the factors influencing it. The outcome of this project provides valuable insights into Tesla's reputation, market position, and the issues it faces, enabling informed decisions and strategies for stakeholders.
What data we used
— 115'736 news articles in both English and German language from 2'324 news sources worldwide
— Dow Jones API Factiva
Objectives
— Collect a comprehensive dataset of news articles in both English and German languages from worldwide news sources about Tesla
— Identify the topics and discussions in which Tesla is involved and to understand the company's story and the factors influencing it
— Explorative map to navigate through Tesla's digital ecosystem
Deliverables
— Dataset of 115,736 news articles about Tesla.
— Report on patterns and trends identified in news coverage.
— Insights into Tesla's reputation, market position, and issues it faces.
