Sentiment Analysis from Scratch | DataHour by Prashant Sahu

GitHub Repo for Project Files: https://github.com/prashant9501/DataHour

Natural Language Processing (NLP) is a hotbed of research in data science these days and one of the most common applications of NLP is sentiment analysis. From opinion polls to creating entire marketing strategies, this domain has completely reshaped the way businesses work, which is why this is an area every data scientist must be familiar with.

Let's code a Sentiment Analysis project from scratch using Python (100% hands-on) together in the live session. In this DataHour, Prashant will cover regular NLP tasks, e.g., data cleaning using regex, stopwords, stemming, lemmatization & finally visualizing the results. Furthermore we'll do feature extraction on textual data (Bag of Words models) followed by ML model building & evaluation (incl. hyperparam tuning using pipelines!)


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