textpreprocessing | Topic | Ecosyste.ms: Repos

Topic: "textpreprocessing"

TrainingByPackt/Deep-Learning-for-Natural-Language-Processing

Solve your natural language processing problems with smart deep neural networks

Language: Jupyter Notebook - Size: 44 MB - Last synced at: 5 months ago - Pushed at: over 6 years ago - Stars: 36 - Forks: 53

shrebox/Political-Ideology-Detection-on-Twitter

Predicting Political Ideology of Twitter Users.

Language: Python - Size: 11 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 22 - Forks: 2

Shubha23/Text-processing-NLP

This notebook contains entire text preprocessing pipeline for NLP problems. The ready-to-use functions require NLTK and SKlearn package installations. It also contains some prominent text classification models.

Language: Jupyter Notebook - Size: 529 KB - Last synced at: 7 months ago - Pushed at: almost 5 years ago - Stars: 15 - Forks: 8

tarek-berkane/mishkal-App

Language: Dart - Size: 866 KB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 6 - Forks: 1

kkverma/Twitter-Sentiment-Analysis

A basic machine learning model built in python jupyter notebook to classify whether a set of tweets into two categories: racist/sexist non-racist/sexist.

Language: Jupyter Notebook - Size: 6.34 MB - Last synced at: over 1 year ago - Pushed at: about 6 years ago - Stars: 6 - Forks: 2

WalidAlsafadi/BBC-News-Sentiment-Analysis

Using BBC News data to analyze the sentiment of news, from title and description.

Language: Jupyter Notebook - Size: 8.75 MB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 4 - Forks: 0

ltd-ARYAN-pvt/NLP

Hey there! Welcome to NLP project repository. Here i will upload all the NLP based projects i have done or i am currently doing. Feel free to fork this repo and contribute in it.

Language: Jupyter Notebook - Size: 9.15 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 2 - Forks: 0

EleetCodeR/YTVideoRanking

A novel approach towards video-ranking using intent and relevance feedback

Language: Python - Size: 113 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

llFireHawkll/Fuzzy-Matcher

Fuzzy Matcher utility provides you robust fuzzy matching based on Levenstein distance enabled with caching and parallization

Language: Jupyter Notebook - Size: 10.7 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 1

samchak18/Capstone_Project_3_Coronavirus-Tweet-Sentiment-Analysis

AlmaBetter Capstone Project -Classification model to predict the sentiment of COVID-19 tweets. The tweets have been pulled from Twitter and manual tagging has been done then.

Language: Jupyter Notebook - Size: 26.6 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

harshith20/emotion_detector

Machine learning model to predict emotions throught text

Language: Jupyter Notebook - Size: 2.7 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

jluo41/NLPText

Language: Jupyter Notebook - Size: 24.6 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

deepak2233/Text_Summarization_Extractive_Abstractive

Implemented Text Summarization by using Text Ranking(simple graph based technique) and Sq2Sq Encoder Decoder Model

Language: Jupyter Notebook - Size: 134 KB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

deepak2233/Twitter-Sentiment-Analysis

Twitter-Sentiment-Analysis-Chandigarh University

Language: Jupyter Notebook - Size: 4.8 MB - Last synced at: over 2 years ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0

RamEppala/NLP-using-NLTK

NLP using NLTK python library

Language: Jupyter Notebook - Size: 7.81 KB - Last synced at: 4 months ago - Pushed at: over 7 years ago - Stars: 1 - Forks: 0

farhad-here/Persian_Text_Processing

It is Persian Text processing with parsivar library

Language: Python - Size: 9.77 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

Hoom4n/HoomanMLTK

A collection of modular and reusable machine learning utilities, tools, and helpers

Language: Python - Size: 37.1 KB - Last synced at: 15 days ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

Shiva-Prasad-Naroju/Spam-Classification-Using-NLP

This repo contains the Spam classification using NLP

Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

jayanthpotluri5513/Deceptive-news-sequencing-using-LSTM

A project on Fake news detection using ML and DL approaches

Language: Jupyter Notebook - Size: 7.22 MB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

farhad-here/ChatGPT_Hugging

Chat gpt with hugging face

Language: Python - Size: 274 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

ssrishtix/IMDB-Sentiment

A comparative case study on stemming vs lemmatization using IMDb movie reviews, focusing on NLP preprocessing and vocabulary analysis.

Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

CDSoft/FizzBuzz

Fizz buzz is not yet another implementation of Fizz buzz. Fizz buzz is a demo of an homogeneous and consistent development and documentation environment.

Language: Lua - Size: 187 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

Nikhil-1705/Fake_news_classifier

Fake News Classifier – An LSTM-based deep learning model for detecting fake news, leveraging NLP techniques for text preprocessing and classification. Bidirectional LSTM Fake News Classifier – An enhanced version using Bidirectional LSTM to improve context understanding and boost fake news detection accuracy.

Language: Jupyter Notebook - Size: 45 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

akhdanfarrosrenoldi/indobert-marketing-strategy

IndoBERT is used for sentiment analysis of product reviews, helping businesses understand customer opinions. With fine-tuning, the model improves sentiment classification accuracy, enabling more effective marketing strategies such as ad personalisation, quick response, and service improvement based on customer feedback.

Language: Jupyter Notebook - Size: 438 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

Mike014/Chatbot_App

Chabot is an application with a graphical user interface that uses various natural language processing (NLP) techniques to tokenize, stem, find stop words, and apply regular expressions to user-input text. The interface is built using Tkinter.

Language: Python - Size: 16.9 MB - Last synced at: 5 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

Ashad777/Twitter-Sentiment-Analysis

Twitter Sentiment Analysis.This repository implements a sentiment analysis model to classify tweets as Positive, Negative, Neutral, or Irrelevant using TF-IDF Vectorization and Random Forest. It includes text preprocessing, tokenization, and data visualizations to explore sentiment distribution.

Language: Jupyter Notebook - Size: 1.08 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

Arfa-Ahsan/Movie-Review-Sentiment-Analysis

This project performs sentiment analysis on movie reviews, classifying them as positive or negative using Natural Language Processing (NLP) techniques and machine learning models.

Language: Jupyter Notebook - Size: 35.1 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

enockjamin01/autocode

NLP LSTM model to predict python codes (Text prediction) (Tokenized special characters)

Language: Jupyter Notebook - Size: 3.56 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Abdul-AA/Black-Friday-Consumer-Experience--Before-and-After-Covid-

Analyzed posts on Reddit related to Black Friday using topic modeling, sentiment analysis, linear regression, and other statistical techniques to uncover user attitudes and trends.

Language: Jupyter Notebook - Size: 5.1 MB - Last synced at: 6 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

amruta33/ATS_App

An ATS app automates the recruitment process by managing job applications, parsing resumes, and screening candidates. It centralizes candidate data, facilitates collaboration among hiring teams, and ensures compliance with hiring regulations.

Language: Python - Size: 3.91 KB - Last synced at: 4 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

yash1314/text-spam-detection-system

This is a Email/SMS spam detection app that uses Multinominal Naive Bayes model to make prediction with an accuracy score of 97.0%.

Language: Python - Size: 117 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

raghavendranhp/SpamGuard-Intelligent-SMS-Filtering-System-

SpamGuard is an intelligent SMS filtering system designed to detect and filter spam messages using machine learning techniques.

Language: Jupyter Notebook - Size: 271 KB - Last synced at: 7 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

saikrishnabudi/Text-Mining

Data Science - Text Mining Work

Language: Jupyter Notebook - Size: 3.75 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

FarhanaTeli/Sentiment_Analysis_IMDB

The comparison between different embeddings (TF-IDF, USE, and TF-IDF + USE) and various classifiers provides valuable insights into the performance of different techniques for sentiment classification.

Language: Jupyter Notebook - Size: 27.6 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

millatatasyakhanifa/Determine-Products-is-Recommended-or-Not-Based-on-Review-Texts-from-Reviewers

Proyek ini bertujuan untuk mengembangkan model yang dapat menentukan apakah produk dalam review direkomendasikan atau tidak berdasarkan teks ulasan yang diberikan oleh para pengulas.

Language: Jupyter Notebook - Size: 167 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

Apaulgithub/Netflix_Movies_And_TV_Shows_Clustering

Unsupervised Machine Learning project for Netflix Movies and TV Shows Clustering. The main goal of this project is to create a content-based recommender system that recommends top 10 shows to users based on their viewing history.

Language: Jupyter Notebook - Size: 14.6 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

ArpitaShrivas001/Sentiment-Analysis-

Used text pre processing and NLP techniques on AIR BNB customer feedback data for sentiment analysis

Language: Python - Size: 10.8 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

Kheem-Dh/Text-Data-Preprocessing-

Text Data Preprocessing

Language: Jupyter Notebook - Size: 15.6 KB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

tusharbhave26/Natural_Language_processing

This repository is for all the method involve in building advance and industrial application of the Natural language processing. This repository is only for learning purposes. This repository is based on the books "Natural Language Processing Recipes" by Akshay Kulkarni, Adarsha Shivananda

Language: Jupyter Notebook - Size: 1.29 MB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

dariodellamura/Sentiment-Analysis-and-Text-Classification-of-drug-reviews

For the text Mining course I carried out a project related to the analysis and classification of the reviews of the "UCI ML Drug Review" dataset (link: https://archive.ics.uci.edu/ml/datasets/Drug+Review+Dataset+%28Drugs.com%29). I learned to apply techniques such as bag of words, TF-IDF and build sentiment analysis models through the Bert and Vader model.

Language: Jupyter Notebook - Size: 1.87 MB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0