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Leveraged NLP techniques such as sentiment analysis and topic modeling to analyze different stand-up comedians using LDA, lemmatization, markov models, etc.

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akshay-madar/nlp-for-standup-comedy-analysis

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Comedians Deliverables Speech Analysis:

The main objective of the project is to perform the sentimental analysis on the comedians speeches, analyse the profanity in their speeches, and assign the polarity and subjectivity scores. In addition to that, topic modelling is performed using Latent Dirichlet Allocation (LDA) technique to categorize the entire corpus into various topics.

This project is performed for learning purposes and the tutorial's code of lines is used for this purpose.

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Leveraged NLP techniques such as sentiment analysis and topic modeling to analyze different stand-up comedians using LDA, lemmatization, markov models, etc.

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