MIS 373 Lecture Notes - Lecture 6: Sentiment Analysis, Performance Appraisal, Cemex

• School: UT-Austin
• Department: Management Information Systems
• Course: MIS 373
• Professor: A Barua

Document Summary

Applying social network analytics to improve intra-organizational collaboration. Internal applications of social network analytics: improving innovation at masterfoods. Assumption: innovation happens when people from diverse backgrounds interact. Historically used to be a centralized group. Well connected, but with some high degree centrality. Each person received personalized profile & recommendations. Challenges: new products, time to market, avoid reinventing the wheel. Developed shift, an internal social media platform. The mantra: let customers help each other . Not a new idea, but difficult to succeed with. Enterprise to enterprise (e2e) community of texas instruments (ti) Python crawler, 24682 messages from one forum. Variables: time, poster, level, points, member type, response to, content (text) Includes all participants who have posted three times. Top 20 (by degree) are all ti employees. Network visualize the position and calculate the centrality of employees. Sentiment analysis - identify which employees give the highest quality responses. Look at posts with negative sentiment scores.