GitHub topics: text-preprocessing

Repositories

Rishabbh-Sahu/text_preprocessing_docker_implementation

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

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jeongukjae/python-mecab 📦

A repository to bind mecab for Python 3.5+. Not using swig nor pybind. (Not Maintained Now)

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VivekChoudhary77/Textify-text-Preprocessing

A text preprocessing web application

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Ayfred/MissionR-D

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LeeTaylorLondon/Dissertation

My Undergraduate dissertation project.

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anangkur/hoax-news-detection-using-tfidf

this repository is the results of final project research to complete my education at Telkom University

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KashifMoin1410/AmazonFoodReview

This ML binary classification model uses text handling techniques like stemming, lemmatisation, and stop word removal to classify reviews as positive or negative.

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imane-ayouni/News-feed-classification-using-LSTM

a stacked LSTM to categorize textual news feeds

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SayamAlt/News-Category-Classification

Successfully developed a news category classification model using fine-tuned BERT which can accurately classify any news text into its respective category i.e. Politics, Business, Technology and Entertainment.

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SayamAlt/Language-Detection-using-fine-tuned-XLM-Roberta-Base-Transformer-Model

Successfully developed a language detection transformer model that can accurately recognize the language in which any given text is written.

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emrejilta/nlp-text-preprocessing

Text Preprocessing with NLTK and spaCy

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linetonthat/app_reviews_analysis

[NLP] Analysis of reviews from mobile apps related to air quality

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Farshad-Hasanpour/TextFeature

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

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bademiya21/Topic-Modeling-with-Automated-Determination-of-the-Number-of-Topics

My version of topic modelling using Latent Dirichlet Allocation (LDA) which finds the best number of topics for a set of documents using ldatuning package which comes with different metrics

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ashwin4glory/Quora-Question-Pair-Similarity

We have to build a machine learning model to predict whether two questions asked on quora are similar or not . So that the similar questions asked may have the same answers which have been given earlier for the previously asked similar question.

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VipinJain1/VIP-Machine-Learning-Exercises-and-Practices

VIP Machine Learning Exercises and Practices

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vaitybharati/Assignment-11-Text-Mining-02-Amazon-Product-Reviews

NLP: Sentiment Analysis or Emotion Mining on Amazon Product Reviews - Part-1. Let’s learn the NLP techniques to perform Sentiment Analysis or Emotion Mining on extracted Product Reviews from Amazon. Part-1 covers Text preprocessing and Feature extraction, the next part covers Sentiment Analysis or Emotion Mining on text corpus. https://medium.com/@vaitybharati/nlp-sentiment-analysis-or-emotion-mining-on-amazon-product-reviews-part-1-428d43112027

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vaitybharati/Assignment-11-Text-Mining-01-Elon-Musk

Assignment-11-Text-Mining-01-Elon-Musk, Perform sentimental analysis on the Elon-musk tweets (Exlon-musk.csv), Text Preprocessing: remove both the leading and the trailing characters, removes empty strings, because they are considered in Python as False, Joining the list into one string/text, Remove Twitter username handles from a given twitter text. (Removes @usernames), Again Joining the list into one string/text, Remove Punctuation, Remove https or url within text, Converting into Text Tokens, Tokenization, Remove Stopwords, Normalize the data, Stemming (Optional), Lemmatization, Feature Extraction, Using BoW CountVectorizer, CountVectorizer with N-grams (Bigrams & Trigrams), TF-IDF Vectorizer, Generate Word Cloud, Named Entity Recognition (NER), Emotion Mining - Sentiment Analysis.

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SonalSavaliya/Fake-News-Real-News-classification

Built MultinomialNB, Logistic Regression, Random Forests and LSTM with the TF-IDF vectorizer for fake and real news classification. Also performed K-means unsupervised algorithm with PCA and t-SNE.

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SarangGami/Topic-modeling-on-News-Articles-Unsupervised-Learning

In this project, task involves analyzing the content of the articles to extract key concepts and themes that are discussed across the articles to identify major themes/topics across a collection of BBC news articles.

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saahilbhatia/text-preprocessing-resumes

Text preprocessing a set of resumes

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SayamAlt/E-Commerce-Text-Classification

Successfully established a machine learning model that can accurately classify an e-commerce product into one of four categories, namely "Books", "Clothing & Accessories", "Household" and "Electronics", based on the product's description.

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Arbazkhan-cs/Movies-Recommend-System

Our innovative platform takes the guesswork out of choosing your next movie by offering personalized recommendations based on similar films you love.❤️

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aqaqsubin/Article-Summarizer

Generate an Abstractive summary of Article.

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SpydazWebAI-NLP/Basic_Tokenizer2023

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.

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minseok0809/korean-sentence-segementation

AIHub 한국어 데이터 전처리: 한국어 문장 분리

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leonshting/text_preprocessing_toolbox

Special purpose text filtering procedures

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nainiayoub/demystifying-nlp

demistifying nlp with a series of nlp implementation notebooks.

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GyanPrakashkushwaha/MobileRecommenderSystem

Mobile Recommendation System (Recommendation using cosine-similarity)

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SayamAlt/Abstractive-Text-Summarization-of-News-Articles

Successfully developed an encoder-decoder based sequence to sequence (Seq2Seq) model which can summarize the entire text of an Indian news summary into a short paragraph with limited number of words.

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ArpitaShrivas001/Sentiment-Analysis

Text pre processing and sentiment analysis on AIR BNB customer feedback dataset.

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prathmesh444/WhatsApp-Chat-Analyzer

This webapp uses text preprocessing and Exploratory data analysis to present interesting insights and patterns of relationship between 2 or more individuals. Currently this website only handles english and hinglish text.

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csebuetnlp/normalizer

This python module is an easy-to-use port of the text normalization used in the paper "Not low-resource anymore: Aligner ensembling, batch filtering, and new datasets for Bengali-English machine translation". It is intended to be used for normalizing / cleaning Bengali and English text.

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BetikuOluwatobi/clustering_analysis_on_spotify_million_songs

A clustering analysis on the Spotify Million Dataset with KMeans algorithm

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keyber/TAL

Implémentation d'algorithmes de Traitement Automatique du Langage

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chlaudiah/Sentiment-Classification-FD-Reviews

Text Classification for Sentiment Analysis using Female Daily's Reviews Dataset

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YashSDholam/Tripadvisor-Hotel-Review-Sentiment-Analysis-using-LSTM-Neural-Network

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.

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ksnugroho/basic-text-preprocessing

Basic text preprocessing for Bahasa with Python.

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yarrap/Natural_Language_Processing

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SayamAlt/SMS-Spam-Classification-using-fine-tuned-RoBERTa-Base-Transformer

Successfully developed a fine-tuned RoBERTa transformer model which can almost perfectly classify whether any given SMS is spam or not.

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amirezzati/Reviews-Sentiment-Analysis

Sentiment Analysis for Reviews

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ku-nlp/text-cleaning

A powerful text cleaner for Japanese web texts

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Emeierkeio/harrypotter-textmining

🪄⚡️ Documentation, data and code used to do Text Processing, Text Representation, Topic Modeling and Text Summarization for 2022/23 Text Mining project @ University of Milano-Bicocca

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olga1590/NLP_projects

NLP with Python

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putuwaw/text-preprocessing

Text Preprocessing in Python

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MD-Ryhan/NLP-Preprocesing

This repository contains code for preprocessing natural language data for use in NLP applications.

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imeghri-sami/vse

A search engine that helps you to perform a search inside a video

Language: Python - Size: 41.5 MB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 0

shanuhalli/Assignment-Text-Mining

Perform sentimental analysis on the Elon-musk tweets and Extract reviews of any product from ecommerce website like amazon, Perform emotion mining.

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anshul1004/InformationRetrieval

Performs tokenization, stemming, lemmatization, index creation, index compression and ranked retrieval of Cranfield documents

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Shakilgithub20/Text-Preprocessing

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rohitgarud/NLP-data-preprocessing

An archive of data (text) preprocessing tools for NLP

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hello-abyannaufal/Sentiment-Analysis-ID

Sentiment Analysis for Indonesian Language with probability 2 output, Bullying or Non-Bullying.

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NatLee/On-the-Role-of-Text-Preprocessing-in-Neural-Network-Architectures-For-IMDB 📦

Unofficial code with the paper "On the Role of Text Preprocessing in Neural Network Architectures" for IMDb dataset.

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jangedoo/jange

Easy NLP in Python

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wisesight/newspaper Fork of codelucas/newspaper 📦

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

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carrliitos/NLPInformationExtraction 📦

My 2020 project focusing on NLP - Information Extraction

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xushengj/PrepPipe 📦

Text data processing utility (PREProcessor PIPEline), written in C++ using Qt

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pri1311/TweeToxicity

TweeToxicity is a program that analyzes user profiles or hashtags based on recent tweets. The program utilizes machine learning to give Twitter users an appropriate score according to their tweets or retweets. This program is meant for educational purposes and no ill intetions existed prior to creating this program.

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NehalGund/Product-Recommendation-System

Recommending similar product based on text features.

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vaibhavhaswani/GoText

GoText is a universal text extraction and preprocessing tool for python which supportss wide variety of document formats.

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AbeerAbuZayed/Hate-Speech-Detection_OSACT4-Workshop

Quick and Simple Approach for Detecting Hate Speech in Arabic Tweets.

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Abhishekmamidi123/100DaysOfMLCode

Learning Machine Learning and showcasing my work for 100 Days.

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alaradirik/TR-NLP-workshop

2020 Açık Seminer - Turkish NLP workshop

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byam/mnlp

MNLP: Mongolian Natural Language Processing.

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SayamAlt/Quora-Duplicate-Question-Pairs-Identification

Successfully developed a machine learning model which can accurately detect whether any given pair of Quora questions are duplicate or not.

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SayamAlt/English-to-German-Translation-using-Seq2Seq

Successfully established a neural machine translation model using sequence to sequence modeling which can successfully translate English sentences to their corresponding German translations.

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schatzederwelt/toxic_comments_detection

Автоматическое выявление токсичных комментариев

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BragdonD/Naive-Bayes-Ngram-text-classifier-NLP

Basic Naive Bayes classifier for text classification using ngram

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Salma-AZIZ/NLP_First_Steps_Python

Natural Language Processing First Steps with Python

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adhilcodes/Annvi-classifier

Malayalam Gender Classifier - Using Machine Learning to Predict Gender of Individuals using their name

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Bonniface/Text-CLeaning-And-Classification

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

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behzadshomali/Data-mining-project

This repository contains our joint work (Mohammad Mohammadzadeh and I) in the context of the "Introduction to Data Mining" course (held at FUM) projects.

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KelvinLam05/sentiment_analysis

Sentiment classification of shoppers' reviews using machine learning techniques.

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arienugroho050396/Spam-Comment-Detection

Classify a comment is spam or not using python

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prince-makwana/Autotagging-of-Question-and-Answers-of-Stackoverflow-Questions

This is a multi label text classification problem. The task is to extract keywords from Stack overflow question and answers, i.e., the problem of auto-tagging of question and answers.

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Andrews2017/kkltk

The Kinyarwanda and Kirundi Languages Toolkit (KKLTK) is a Python package for Kinyarwanda and Kirundi languages processing. KKLTK currently provides the sets of stopwords for both languages and other preprocessing tools such as Kinyarwanda and Kirundi tokenizers will be added soon. KKLTK requires Python 3.0, 3.5, 3.6, 3.7, or 3.8.

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