Text Preprocessing Script: This is a simple python script that i use for preprocessing text using NLTK.

News, full-text, and article metadata extraction in Python 3. Advanced docs:

transforms unstructured text to feature vector using word2vec, lexicon and ...

This repository contains materials to understand the various concepts used in Natural Language Understanding.

Text classification is a widely used natural language processing task in different business problems. Given a statement or document, the task involves assigning to it an appropriate category from a pre-defined set of categories. The dataset of choice determines the set of categories. Text classification has applications in emotion classification, n

Kaggle Competition: Real or Not? NLP with Disaster Tweets.

Preprocessing Text

Analyze what people think and feel about Mac'Do France through their publications and comments posted on TripAdvisor

This repository contains code for a text classification project using Twitter and news datasets, where several classification models were evaluated and compared based on their performance metrics.

The Tokenizer is a versatile text processing library written in Visual Basic (VB.NET). It provides functionalities for tokenizing text into words, sentences, characters, and n-grams. The library is designed to be flexible, customizable, and easy to integrate into your VB.NET projects.

Documents classification using KNN Algorithm a graph based approach along with scrapped data

Extraction of data from semi-structured text files, and preprocess the text into numerical representations.

Successfully developed a machine learning model for computing the similarity score between two text paragraphs taken as input from a webpage.

Simple approach to fetch certain info from the text, provided to it and integration with the docker.

Comparative performance analysis of classification algorithms (Decision Tree, SVM, Naive Bayes) for categorizing Detikcom news.

This project aims at building a model which classifies whether the news given is genuine or false by use of Natural Language Processing.

Recommending similar product based on text features.

This project aims to analyze the sentiment of tweets related to the 2019 Indonesia Election. Sentiment analysis plays a crucial role in understanding public opinion and attitudes towards political events, providing valuable insights for decision-making and public discourse.