Sentiment Analysis for specific Brand Products

Jan 18, 2013·
Christopher Teixeira
Christopher Teixeira
· 1 min read
Credit - Ron Sela
project Machine Learning

Analyze social media (Twitter) to determine sentiment around a client’s brand and specific products. Using R, analyzed tweets to determine shifts in sentiment over time about a client’s brand and general effectiveness of customer service. Produced visualizations through R and Tableau to help executives understand the sentiment analysis results.

Epsilon
Christopher Teixeira
Authors
Christopher Teixeira (he/him)
Data Scientist
Christopher Teixeira is a Data Scientist with extensive experience applying statistics, applied probability, and operations research to solve complex organizational challenges. Throughout his career, he has partnered with diverse stakeholders to drive data-informed decision-making, helping organizations navigate the nuances of various analytical techniques to find optimal solutions. Christopher has a proven track record of delivering code in multiple languages, leading large-scale technical efforts, and responding to technical proposals and developing relationships with customers. He holds an M.S. in Operations Research from George Mason University and a B.S. in Mathematics from Worcester Polytechnic Institute.