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Python project to label tweets with annotations, based off of the perceived mood of the tweet, i.e., happy, sad, angry, etc. Applied Machine Learning Techniques to visualize data and then calculate the statistical accuracy of the model's performance

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vs4503/Tweet-Label-Annotations

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Tweet Label Annotations, Distributions and Visualizations

Overview

Python project to label tweets with annotations, based off of the perceived mood of the tweet, i.e., happy, sad, angry, etc. Applied Machine Learning Techniques to visualize data and then calculate the statistical accuracy of the model's performance

Data description

Curated collection of 1000 tweets annotated across 12 unique labels.

Python Modules Used

  1. JSON
  2. NLTK
  3. Pandas
  4. Sklearn
  5. Matplotlib
  6. Networkx
  7. Counter

About

Python project to label tweets with annotations, based off of the perceived mood of the tweet, i.e., happy, sad, angry, etc. Applied Machine Learning Techniques to visualize data and then calculate the statistical accuracy of the model's performance

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