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Internship project that dealt with Customer Satisfaction/Dissatisfaction Analysis for a major Technology giant. Converted Voice transcipts to text, performed Text and Sentiment analysis to produce results.

Jupyter Notebook 11.28% Python 28.83% R 59.89%
customer-satisfaction sentiment-analysis dissatisfaction-analysis rprogramming python text-mining text-classification speech-to-text

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Customer-Satisfaction-Dissatisfaction-Analysis

Explored Linguistic data and converted Audio to Text. Developed an NLP framework for text mining. Real time application and insights were generated by performing Sentiment analysis by extracting keywords using Parts of Speech Tagging (Scikit learn) and applying algorithms such as Neural Network, Maxent, SVM, XVB. Identified the association between entity modifiers using LSA and Word2Vec. Established a Word Heirarchy to create Wordmaps and its diffusion

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