Develop Sentiment Analysis, Topic Modeling, and Text Classification Modules

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Assessment

Difficulty
5/5
Estimated time
Over a week
Newbie friendliness
20/100
Issue type
Feature
Clarity
Needs clarification
Activity status
Stale
Tech stack
python, scikit-learn

Research direction

The issue names no files, tests, or entry points to begin with. First review the toolkit's existing components and determine the intended interfaces for sentiment analysis, topic modeling, and text classification; completion requires robust, scalable modules that integrate with the other toolkit components.

Written by the indexing model from the issue text.

Description

Development NLP

Create robust modules for sentiment analysis, topic modeling, and text classification. Ensure these modules are scalable and integrate seamlessly with other toolkit components.

Dominant language
Jupyter Notebook
Stars
7
Forks
4
PR merge metrics
No merged PRs in 30d

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

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