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In this project we have built a model which takes a dataset as an input andas an output gives the percentage of posive ,negative and neutral tweets in the given dataset. It is done using natural language processing library using scikit learn machine learning libraries such as textblob.

Jupyter Notebook 85.89% Python 14.11%
python python3 tweepy tweepy-api textblob textblob-sentiment-analysis sentiment-analysis sentimental-analysis twitter-sentiment-analysis twitter-api

twitter-sentiment-analysis's Introduction

Hi ๐Ÿ‘‹, I'm ANUSHKA GUPTA

A passionate Software Developer from India


anushka23g


anushka23g

anushka23g



๐Ÿ”ญ Iโ€™m currently working on Tech interviews Preparation Material

๐Ÿ‘ฏ Iโ€™m looking to collaborate on Learning Made Easy

๐Ÿ’ป All of my projects are available at https://github.com/anushka23g

๐Ÿฃ My latest repository, Tech-interviews-Prep, Ranked under the TRENDING repositories on Github Worldwide at the 11th position. โค๏ธ

๐Ÿ“ซ How to reach me [email protected]

โญ Connect with me:

anushka-gupta-679496196 anushka23g

โญ Languages and Tools:

c cplusplus css3 figma git html5 illustrator javascript mysql photoshop python scikit_learn sqlite tensorflow xd


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