Sentiment analysis of customer reviews

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.


  • 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

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