GitHub topics: text-preprocessing

Ad-Chekk/EchoAI

Web Content Analyzer with LLMs is a powerful tool for scraping, processing, and analyzing web content using advanced Machine Learning (ML) and Natural Language Processing (NLP) techniques. It leverages state-of-the-art models such as RoBERTa for extractive question answering, BART for summarization, and various other NLP models for tasks like senti

Language: Python - Size: 37.1 KB - Last synced at: about 22 hours ago - Pushed at: about 23 hours ago - Stars: 0 - Forks: 0

Raj-UtsaV/IMDB_Movies_Review

"A sentiment analysis project using IMDb movie reviews with NLP and machine learning techniques to classify reviews as positive or negative."

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Avinraj01/SHL-Grammar-Scoring-Engine-for-Voice-Samples

This model predicts grammar scores (1–5) from audio files. It uses Whisper to transcribe speech to text, cleans the text, and extracts features with TF-IDF. A Random Forest Regressor is trained to learn grammar score patterns. Evaluation via Pearson Correlation showed good results.

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adbar/trafilatura

Python & Command-line tool to gather text and metadata on the Web: Crawling, scraping, extraction, output as CSV, JSON, HTML, MD, TXT, XML

Language: Python - Size: 33.8 MB - Last synced at: 1 day ago - Pushed at: about 1 month ago - Stars: 4,151 - Forks: 289

CDSoft/ypp

Yet a PreProcessor

Language: Lua - Size: 191 KB - Last synced at: 3 days ago - Pushed at: 4 days ago - Stars: 12 - Forks: 1

CDSoft/panda

Panda is a Pandoc Lua filter that works on internal Pandoc's AST. Panda is heavily inspired by [abp](http:/cdelord.fr/abp) reimplemented as a Pandoc Lua filter.

Language: Lua - Size: 265 KB - Last synced at: 3 days ago - Pushed at: 4 days ago - Stars: 51 - Forks: 5

Aashi2608/Natural-language-Processing

A Natural Language Processing (NLP) project that applies machine learning to detect fraud in vehicle insurance claims by analyzing textual data. Combines preprocessing, feature extraction, and classification models for intelligent claims analysis.

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jhlopesalves/CorpusAid

Automated text preprocessing pipeline for large corpora. Features customizable filters for diacritics, stop words, punctuation, and regex.

Language: Python - Size: 1.33 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 1 - Forks: 0

jfilter/clean-text

🧹 Python package for text cleaning

Language: Python - Size: 157 KB - Last synced at: 7 days ago - Pushed at: almost 2 years ago - Stars: 975 - Forks: 79

ssciwr/mailcom

Recognize and pseudonymize named entities in emails

Language: Python - Size: 16 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 1 - Forks: 1

Ibraddah/SHL-Grammar-Scoring-Engine-for-Voice-Samples

This model predicts grammar scores (1–5) from audio files. It uses Whisper to transcribe speech to text, cleans the text, and extracts features with TF-IDF. A Random Forest Regressor is trained to learn grammar score patterns. Evaluation via Pearson Correlation showed good results.

Language: Jupyter Notebook - Size: 34.2 KB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 0 - Forks: 0

xga0/DisasterTweetPrediction

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

Language: Python - Size: 37.1 KB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 0 - Forks: 0

jbesomi/texthero

Text preprocessing, representation and visualization from zero to hero.

Language: Python - Size: 22.1 MB - Last synced at: 11 days ago - Pushed at: over 1 year ago - Stars: 2,904 - Forks: 240

lanl/T-ELF

Tensor Extraction of Latent Features (T-ELF). Within T-ELF's arsenal are non-negative matrix and tensor factorization solutions, equipped with automatic model determination (also known as the estimation of latent factors - rank) for accurate data modeling. Our software suite encompasses cutting-edge data pre-processing and post-processing modules.

Language: Python - Size: 45.5 MB - Last synced at: 9 days ago - Pushed at: 19 days ago - Stars: 17 - Forks: 5

Willgnner-Santos/DPE-Legal-Doc-Classification-Pipeline

The results are drawn from experiments on the classification of legal documents using LLMs in a real-world institutional setting

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AniK4111/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.

Size: 2.58 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

MoustafaMohamed01/web-summarizer-ai

A Python tool to scrape and summarize website content using AI. Built with Selenium, BeautifulSoup, and Google's Gemini AI, this project extracts the main text from any website and generates a concise summary in markdown format. Perfect for quickly understanding long articles, blogs, or news pages.

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vedavyas0105/Financial-Sentiment-Distillation

This project leverages knowledge distillation to create a lightweight yet powerful sentiment analysis model, tailored specifically for financial news data. Using a teacher-student approach, the project distills knowledge from a large FinBERT model into a compact DistilBERT-based student model, balancing performance and efficiency.

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venkat-0706/Sentimental-Analysis

Build a model to classify text as positive, negative, or neutral. Apply NLP techniques for preprocessing and machine learning for classification. Aim for accurate sentiment prediction on various text formats.

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berknology/text-preprocessing

A python package for text preprocessing task in natural language processing.

Language: Python - Size: 40 KB - Last synced at: 19 days ago - Pushed at: over 2 years ago - Stars: 63 - Forks: 7

ArNAB-0053/Song-Identifier

It identifies songs and artists from lyric snippets using two distinct methods - simple NLP based approach and BM25(Best Match 25) approach.

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evanch98/natural-language-processing-python

Natural Language Processing

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pngo1997/N-gram-Language-Models

Builds N-gram language modes and applies text generation.

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SayamAlt/Financial-News-Sentiment-Analysis

Successfully developed a fine-tuned DistilBERT transformer model which can accurately predict the overall sentiment of a piece of financial news up to an accuracy of nearly 81.5%.

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swathisivaprabu/ML-Projects

This repository documents my journey in Machine Learning. Explored data preprocessing, feature engineering, and model training. Built models for classification, regression, and NLP tasks. Continuously learning and improving.

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SayamAlt/Fake-News-Classification-using-fine-tuned-BERT

Successfully developed a text classification model to predict whether a given news text is fake or not by fine-tuning a pretrained BERT transformed model imported from Hugging Face.

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AndyTheFactory/article-extraction-dataset

Article title, authors, date and body extraction dataset.

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pngo1997/Text-Processing-Tokenization

Simple text analysis and tokenization.

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pngo1997/Word-Embeddings-Co-occurrence-SVD-GloVe

Explores word embeddings.

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SayamAlt/Resume-Classification-using-fine-tuned-BERT

Successfully developed a resume classification model which can accurately classify the resume of any person into its corresponding job with a tremendously high accuracy of more than 99%.

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AjayKumar095/Natural_Language_Processing

Explore cutting-edge Natural Language Processing (NLP) techniques in this GitHub repository. Includes pre-trained models, custom NLP pipelines, text preprocessing tools, sentiment analysis, text classification, and more. Ideal for research, learning, and deploying NLP solutions in Python.

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vinayakdasgupta/anvay

anvay is is a Flask-based Bengali text processing and topic modeling tool that uses Latent Dirichlet Allocation (LDA) to extract topics from uploaded text files.

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gkalocsai/metatrans

Transpiler engine

Language: Java - Size: 958 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

ezgisubasi/turkish-tweets-sentiment-analysis

This sentiment analysis project determines whether the tweets posted in the Turkish language on Twitter are positive or negative.

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SayamAlt/Mental-Health-Classification-using-fine-tuned-DistilBERT

Successfully established a multiclass text classification model by fine-tuning pretrained DistilBERT transformer model to classify several distinct types of mental health statuses such as anxiety, stress, personality disorder, etc. with an accuracy of 77%.

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DeepakMishra99/Natural_Language_Processing_Practice

Natural Language Processing

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SayamAlt/Luxury-Apparel-Product-Category-Classification-using-fine-tuned-DistilBERT

Successfully developed a multiclass text classification model by fine-tuning pretrained DistilBERT transformer model to classify various distinct types of luxury apparels into their respective categories i.e. pants, accessories, underwear, shoes, etc.

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mim-solutions/mim_nlp

A Python package with ready-to-use models for various NLP tasks and text preprocessing utilities. The implementation allows fine-tuning.

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erickmaiaa/nlp

Exploration of NLP concepts, including text preprocessing, language models, and practical applications like sentiment analysis, using tools like NLTK, spaCy, and transformers.

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gaaniruddha/FIT5196-A1

This repository contains assignments #1 that was completed as a part of "FIT5196 Data Wrangling", taught at Monash Uni in S2 2020.

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Lipairui/textgo

Text preprocessing, representation, similarity calculation, text search and classification. Let's go and play with text!

Language: Python - Size: 532 KB - Last synced at: 10 days ago - Pushed at: about 3 years ago - Stars: 44 - Forks: 2

Ailln/proces

🐨 text preprocess.

Language: Python - Size: 42 KB - Last synced at: 24 days ago - Pushed at: over 1 year ago - Stars: 5 - Forks: 0

adilrasheed139/AI-Powered-Resume-Screening-using-BERT

Successfully developed a resume classification model which can accurately classify the resume of any person into its corresponding job with a tremendously high accuracy of more than 99%.

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giocoal/reddit-tldr-summarizer-and-topic-modeling

Extreme Extractive Text Summarization and Topic Modeling (using LSA and LDA techniques) over Reddit Posts from TLDRHQ dataset.

Language: Python - Size: 52.5 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 7 - Forks: 1

omar-sherif9992/Dialect-LLM-Bachelor-Project

The aim of the Bachelor project is to innovate a new way for Arabic (Egyptian-Dialect) Sentiment Analysis , Forecasting and Topic Modeling using Machine Learning , Deep Learning and Transformers!

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lyeoni/prenlp

Preprocessing Library for Natural Language Processing

Language: Python - Size: 156 KB - Last synced at: 12 days ago - Pushed at: over 2 years ago - Stars: 161 - Forks: 12

MusfiqDehan/data-preprocessors

🛠️An easy to use tool for Data Preprocessing specially for Text Preprocessing

Language: Python - Size: 193 KB - Last synced at: 6 days ago - Pushed at: 8 months ago - Stars: 2 - Forks: 1

Jesly-Joji/Spam-Ham-Classifier

Used Naive Bayes Algorithm, NLP Text Preprocessing Techniques

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umapornp/textprepro

👀 Everything Everyway All At Once Text Preprocessing for Natural Language Processing.

Language: Python - Size: 1.3 MB - Last synced at: about 1 month ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 0

vishnun0027/Sentiment-Analysis

Here the several ways to perform sentiment analysis on text data, with varying degrees of complexity and accuracy

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kunalPisolkar24/IR_Lab

Collection of practical codes for Savitribai Phule Pune University's Information Retrieval Lab (410247) .

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Shubhamd1234/SMS_Spam_Detection_Model_Using_NLP

An NLP-based model designed to effectively identify and filter spam SMS messages. NLTK Library, Text Preprocessing, IF-IDF and more techniques used.

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catherinetweeks/text-preprocessing-articles

Preprocesses text from news articles.

Language: Python - Size: 5.86 KB - Last synced at: 6 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

SeyedShahab-A/Topic-Modeling

A project on applying Dirichlet Allocation (LDA) to uncover key topics influencing customer satisfaction and dissatisfaction

Language: R - Size: 2.93 KB - Last synced at: 5 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

AtheerAlzhrani/arabic_nlp

This repository contains projects focused on Arabic Natural Language Processing (NLP)

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franklinen/Potential-Talents

NLP-based pipeline for talent discovery

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iamluirio/echo-chambers-news-aggregators

We propose different measures that can quantitatively and qualitatively study characterization of echo chambers in news media aggregators across different users.

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sebastianherman/bachelors

Bachelor's project

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mrqadeer/text_prettifier

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.

Language: Python - Size: 13.7 KB - Last synced at: 29 days ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

mrqadeer/internet_words_remover

Python module designed to replace common internet slang and abbreviations with their full forms, enhancing the readability of informal text. It efficiently cleans text data from chats, social media, and online communication. The module also supports tokenization and integrates seamlessly with pandas for batch processing of text in DataFrames.

Language: Python - Size: 31.3 KB - Last synced at: 29 days ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

kayl26/TextRetrieval_SearchEngines

Assignments completed for CP423: Text Retrieval and Search Engines. Collaborated with Abigail Lee and Myisha Chaudhry

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mevlutayilmaz/text-summarization

text summarization in python

Language: Python - Size: 16.6 KB - Last synced at: 9 days ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

parthu34/Text-Processing-Application-Using-NLP-

Airline User Review Tweets – A Sentiment Analysis

Language: Python - Size: 4.06 MB - Last synced at: 8 months ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

dbadeev/tweets

Цель проекта - анализ тональности твитов. Для сообщений пользователей из тестового набора, необходимо предсказать с максимально возможным результатом, является ли тональность твита положительной, отрицательной или нейтральной.

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SiddiquiZainab/Song-Lyrics-Generation-Model

A machine learning model for generating song lyrics using advanced neural network techniques. This model leverages Bi-directional LSTM to create coherent and creative lyrics in various styles.

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Shanmukhi1920/Text_Classification

Developed an NLP system using Gradio and Hugging Face to classify disaster tweets with both machine learning (ML) and deep learning (DL) models.

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Mohana-Murugan/NLP

NLP

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Ankur3107/nlp_preprocessing

Text Preprocessing Package includes cleaning, tokenization, dataset preparation ...etc

Language: JavaScript - Size: 5.19 MB - Last synced at: 8 months ago - Pushed at: over 4 years ago - Stars: 17 - Forks: 7

fwaskito/ta

Tugas akhir (final year project). This source code was used in the bachelor thesis “Public Sentiment Analysis of Mental Disorder based on Twitter Texts using Support Vector Machine”.

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minseok0809/text-line-converter

텍스트 대소문자 변환, 한 줄 변환, 특수 문자 제거 프로그램

Language: TeX - Size: 89.9 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

mParthSaharanf/Comprehensive-Text-Extraction-and-Analysis-for-Article-Metrics

This project extracts and analyzes textual data from given URLs using BeautifulSoup and NLTK. It performs sentiment analysis, word complexity assessment, and calculates average word length, saving results in text and CSV formats.

Language: Python - Size: 38.3 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

Isurie/Text-Classification-Module

Sinhala text extraction, preprocessing, and classification considering subject and domain.

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abinashsahoo007/Project-Resume-Classification

The document classification solution should significantly reduce the manual human effort in the HRM. It should achieve a higher level of accuracy and automation with minimal human intervention.

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vlada-pv/Prediction-Sociolinguistic-Data-Based-on-the-Diaries-Texts-of-the-Prozhito-Project

The repository contains notebooks created for collecting and preprocessing the corpus of diary entries and for experiments on creating models for predicting gender, age groups of authors and the time period of text creation.

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p208p2002/wikitext-table-parser

A WikiText table parser written in Rust.

Language: Rust - Size: 98.6 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0

AmruhaAhmed/OIBSIP

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SayamAlt/Cyberbullying-Classification-using-fine-tuned-DistilBERT

Successfully fine-tuned a pretrained DistilBERT transformer model that can classify social media text data into one of 4 cyberbullying labels i.e. ethnicity/race, gender/sexual, religion and not cyberbullying with a remarkable accuracy of 99%.

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bhattbhavesh91/clean-text-demo

Tutorial on Clean-Text which is a Python package for text cleaning

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bilalhameed248/FAQ-Chat-Bot-Using-VertexAI

A generative AI-based FAQ Chat-Bot with a Flask Back-End, designed to operate within an organization's internal domain. - Jul 2023 - Oct 2023

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jasoncobra3/Natural_Language_Processing

Natural Language Processing (NLP) is a captivating field at the intersection of computer science and linguistics. It enables machines to understand, interpret, and respond to human language in a way that is both meaningful and useful. From chatbots to sentiment analysis, NLP applications are transforming industries and enhancing user experiences.

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faraz-wq/Echostop

A plagiarism detection service

Size: 0 Bytes - Last synced at: 11 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

MS1034/document-classification-using-KNN

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

Language: Python - Size: 13.4 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

amirali-saj/Persian-News-Information-Retrieval-System

An Information retrieval system for Persian news with ranked retrieval of documents according to relevance to the query.

Language: Python - Size: 76.1 MB - Last synced at: 11 months ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

CSingh26/Project3-SentimentAnalysis

Sentiment Analysis using Machine Learning

Language: Python - Size: 769 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

HannahIgboke/Sentiment-Analysis-of-Real-time-Flipkart-Product-Reviews

Integration of a trained sentiment classification model into a Flask web app for real-time inference on product reviews from Flipkart store.

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pusztaipatrik/job-postings

Results of a Data analytics project at TH Wildau. Created with Orange data analytics tool, Data source: https://www.kaggle.com/datasets/PromptCloudHQ/us-jobs-on-monstercom

Size: 11.5 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

SayamAlt/English-to-Spanish-Language-Translation-using-Seq2Seq-and-Attention

Successfully established a Seq2Seq with attention model which can perform English to Spanish language translation up to an accuracy of almost 97%.

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SayamAlt/Symptoms-Disease-Text-Classification

Successfully developed a fine-tuned BERT transformer model which can accurately classify symptoms to their corresponding diseases upto an accuracy of 89%.

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shinho123/23.08-23.12-KOREA-BASIC-SCIENCE-INSTITUTE-

기관 협업 공동 연구(23.08~12) - 한국기초과학지원연구원(Korea Basic Science Institute)

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SayamAlt/Emotion-Detection-using-fine-tuned-BERT-Transformer

Successfully developed a fine-tuned BERT transformer model which can effectively perform emotion classification on any given piece of texts to identify a suitable human emotion based on semantic meaning of the text.

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Muhammad-Sheraz-ds/Natural-Language-Processing

This repository serves as a comprehensive resource for learning and implementing Natural Language Processing (NLP) techniques. The content is organized to provide an understanding of NLP challenges, real-world applications, and various approaches used to solve NLP use cases.

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LoyumM/Movie-recommendation

Recommend similar movies

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Theofilusarifin/Sentiment-Analysis-on-2019-Indonesia-Election

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.

Language: Jupyter Notebook - Size: 1.45 MB - Last synced at: 12 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 1