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Text Analytics



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Computer Vision: Sentiment Analysis

Decoding opinions, understanding trends, and driving better decisions with sentiment analysis.

Goal

  • To identify high-level topics in the dataset, providing an understanding of subscriber feedback and their performance over time.
  • To employ sentiment analysis on the verbatim responses associated with each identified topic to categorise sentiments as positive, neutral, or negative.
  • To determine sentiment variations across different areas.

Technique

  • Text Preprocessing, Topic Modelling, Sentiment Analysis, Time Series Visualization, Visualization.

Impact

  • Enable strategic decision-making by providing a clear understanding of the key topics in subscriber feedback.
  • Pinpoint specific areas to guide targeted efforts and enhance customer satisfaction.
  • Provide insights into subscriber opinions through verbatim sentiment analysis.

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