textpreprocessing
There are 57 repositories under textpreprocessing topic.
TrainingByPackt/Deep-Learning-for-Natural-Language-Processing
Solve your natural language processing problems with smart deep neural networks
shrebox/Political-Ideology-Detection-on-Twitter
Predicting Political Ideology of Twitter Users.
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.
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.
oguzkedek/Turkcell-Miuul-Data-Science-Bootcamp
Turkcell&Miuul Data Science Bootcamp - Assignments
WalidAlsafadi/BBC-News-Sentiment-Analysis
Using BBC News data to analyze the sentiment of news, from title and description.
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.
Rawan-Kh/NLP_Datacamp
All NLP related courses on DataCamp
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.
ArpitaShrivas001/Airbnb_Customer_Feedback_Sentiment_Analysis
Performed PySpark based text pre-processing including lemmatization, POS tagging and UDF functions on customer feedback. Computed and visualized sentiment score to identify areas of improvements.
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.
deepak2233/Text_Summarization_Extractive_Abstractive
Implemented Text Summarization by using Text Ranking(simple graph based technique) and Sq2Sq Encoder Decoder Model
deepak2233/Twitter-Sentiment-Analysis
Twitter-Sentiment-Analysis-Chandigarh University
EleetCodeR/Novel-Video-Ranking-Approach
A novel approach towards video-ranking using intent and relevance feedback
harshith20/emotion_detector
Machine learning model to predict emotions throught text
llFireHawkll/Fuzzy-Matcher
Fuzzy Matcher utility provides you robust fuzzy matching based on Levenstein distance enabled with caching and parallization
RamEppala/NLP-using-NLTK
NLP using NLTK python library
ravikiransm/Natural_Language_processing_Starter
NLP starter kit
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.
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.
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.
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.
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.
enockjamin01/autocode
NLP LSTM model to predict python codes (Text prediction) (Tokenized special characters)
farhad-here/ChatGPT_Hugging
Chat gpt with hugging face
iamluirio/lstm-sentiment-analysis
Goal is to identify an appropriate pipeline to obtain good performance on the dataset, using LSTM neural network approaches.
jayanthpotluri5513/Deceptive-news-sequencing-using-LSTM
A project on Fake news detection using ML and DL approaches
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.
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.
farhad-here/Persian_Text_Processing
It is Persian Text processing with parsivar library
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.
raghavendranhp/SpamGuard-Intelligent-SMS-Filtering-System-
SpamGuard is an intelligent SMS filtering system designed to detect and filter spam messages using machine learning techniques.
saikrishnabudi/Text-Mining
Data Science - Text Mining Work