In this repository I have scraped data from web and then pre-processed the data to obtain results.
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.ipynb_checkpoints
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README.md Create README.md Jan 3, 2019
Understanding_NLP_Fundamentals_Inshorts.ipynb
contractions.py
news.csv

README.md

Understand_NLP

Here I have worked with Natural Language Processing fundamentals. Initlially, I had built a web scraper which had scraped news articles from Inshorts website. Then I have used numerous text-preprocessing techniques, through which I was able to clean the data for further processing. After this, I have done sentiment analysis on the data. For this, I have used NLTK and TextBlob library. Using both data visualization and pandas dataframe to show results of the dataset.