Skip to content
#

text-cleaning

Here are 70 public repositories matching this topic...

Extract text content from an HTML page, process it, and extract unique words from the processed text. This notebook utilizes various text processing techniques including cleaning, normalization, tokenization, lemmatization or stemming, and stop words removal.

  • Updated Apr 5, 2024
  • Jupyter Notebook

The recommendation that recommends the right candidates to the recruiters to a job applicantion. The content is the personal information and their job desires. Implementation of a recommender system based using filtering techniques and Natural language processing to recommend top jobs based on similarity.

  • Updated Dec 6, 2023
  • Jupyter Notebook

In this project, I utilized the TripAdvisor Hotel Review dataset from Kaggle to perform sentiment analysis on hotel reviews. The main objective was to build a predictive model using LSTM (Long Short-Term Memory) neural networks to classify hotel reviews as positive or negative based on their textual content.

  • Updated Jul 31, 2023
  • Jupyter Notebook

Improve this page

Add a description, image, and links to the text-cleaning topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the text-cleaning topic, visit your repo's landing page and select "manage topics."

Learn more