Automated customer feedback analysis

1. Automated Customer Feedback Analysis Problem: Companies receive large volumes of customer feedback that are difficult to categorize and act on efficiently. Technologies: Python, NLP (spaCy, HuggingFace), sentiment analysis, Power BI. Research question: Can Natural Language Processing reduce the time required to analyze customer feedback by more than 50%? NLP (spaCy, HuggingFace): Natural Language Processing, the field of analyzing and understanding human language. spaCy: A library for text analysis, entity recognition, text classification, and other NLP tasks. HuggingFace: A platform providing pre-trained transformer models for tasks like sentiment analysis, translation, and text summarization. Sentiment Analysis: A technique to determine whether a piece of text expresses positive, negative, or neutral emotions. Its particularly useful for evaluating customer feedback. Power BI: A Microsoft tool for data visualization and analysis, allowing the creation of interactive dashboards and reports to make analysis results easily understandable and actionable.

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