Sentiment analysis of customer reviews
Problem statement:
- We were commissioned by an e-commerce platform to conduct an analysis on client reviews with regard to their satisfaction.
Dataset:
- Data-collection: Our algorithms automatically collected client reviews from webpages and stored them.
- Data structuring: In order to analyze the sentiment of a reviewer, the stored text was structured according to different word and syntax characteristics
- Machine learning: Once the algorithm can “read” the sentiment from the text it is trained to become more accurate by feeding more data into the system.
Key value addition:
- Automate textual analysis with regard to certain sentiments occurring in the text.
- Enables large scale textual analysis
