Workshop materials for 'Fundamentals of Text and Data Mining'
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Updated
Mar 17, 2021
Workshop materials for 'Fundamentals of Text and Data Mining'
Performed text cleaning steps in Natural Language Processing | Uploading One of my college Assignment
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.
Analysis of the dialogue from the Lord of the Rings movie trilogy.
Repo with basic start on Recurrent Neural Networks, Word2Vec, Doc2Vec, TFIDF vectors and NLP basics
NLP
ValX is an open-source Python package for text cleaning tasks, including profanity detection and removal. Now also includes sensitive information detection, and removal.
API for data text cleansing and processing with .json output
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.
Clean your Text for Statistical ML and Language Model
Language-Detection
Sentiment Analysis For Restaurant Reviews
Utility that automates text cleaning over batches of text files
This repository contains code for preprocessing natural language data for use in NLP applications.
Developed an NLP system using Gradio and Hugging Face to classify disaster tweets with both machine learning (ML) and deep learning (DL) models.
End 2 End NLP project with python
Python library designed to clean and preprocess text data by removing unwanted elements such as HTML tags, URLs, numbers, special characters, emojis, contractions, and stopwords. It offers flexible functionality, including options to return text in lowercase and as a list of tokens.
PDF merging and scraping for nlp use
This repository demonstrates a practice project in the recommender system field using data from the Kaggle movie dataset.
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