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Sentiment analysis study through tweets with TensorFlow

License: MIT License

Jupyter Notebook 99.99% Python 0.01%
matplotlib nltk pandas regex seaborn sklearn spacy tensorflow workcloud

tensorflow-twitter-sentiment-analysis's Introduction

Twitter Sentiment Analysis

For several decades, the way in which users interact and exchange opinions has changed, mainly due to the appearance and growth experienced in social networks.

Depending on the number of users who interact at the same time on that subject, it will cause virality or tendency.

Makes a study of the opinions that have users, identifying the positive and negative sentiments through their tweets. In addition, study the different characteristics related to natural language.

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