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The goal of my project is to find out if is possible to predict which category a given a topic should belong to.

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sheikita/Text-Classification-Model-NLP

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Springboard-Capstone-Project-2

The goal of the project is to build a classification model that will classify any new topic submission to the adequate category ( API, Account Server Management, Chat, Mobile, Merchandise, Other, Overlay and Game Store).

Jupyter Notebook: Capstone Project 2- E2E Classification Model.ipynb contains code used to transform text data into their numerical representation, then apply supervised learning models that could learn. Tested different scenarios such as removing stopwords, tf-idf.

Technologies Used

  • NLP: NLTK, spacy
  • Modeling: Logistic Regression, Gradient Boosting and Random Forest

PowerPoint Presentation "Applying NLP to NNN dataset": highglights trends/calls to action from performing EDA, applying the modes and evaluating them.

Capstone Project 2 Final Report: provides detailed explanation on the steps needed to drive this project to completion.

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The goal of my project is to find out if is possible to predict which category a given a topic should belong to.

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