{"id":22138318,"url":"https://github.com/huseyincenik/nlp_natural_language_processing","last_synced_at":"2025-07-25T22:32:03.396Z","repository":{"id":211767363,"uuid":"729908668","full_name":"huseyincenik/nlp_natural_language_processing","owner":"huseyincenik","description":"NLP (Natural Language Processing)","archived":false,"fork":false,"pushed_at":"2024-09-15T13:37:18.000Z","size":18724,"stargazers_count":5,"open_issues_count":0,"forks_count":1,"subscribers_count":1,"default_branch":"main","last_synced_at":"2024-09-15T14:56:30.690Z","etag":null,"topics":["albert","bart","bert-model","distilbert","gpt","gpt2","huggingface","huggingface-transformers","natural-language-processing","nlp","nlp-machine-learning","nltk-library","roberta","roberta-model","sentiment-analysis","t5","xlnet"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/huseyincenik.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2023-12-10T18:10:01.000Z","updated_at":"2024-09-15T13:37:21.000Z","dependencies_parsed_at":"2023-12-10T19:26:04.447Z","dependency_job_id":"4af976dd-ce5f-4ca1-a5f2-86da1a9f7a45","html_url":"https://github.com/huseyincenik/nlp_natural_language_processing","commit_stats":{"total_commits":30,"total_committers":1,"mean_commits":30.0,"dds":0.0,"last_synced_commit":"c6d1c07cc35f578380740384ed0b5ed628c39cfb"},"previous_names":["huseyincenik/nlp_natural_language_processing"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/huseyincenik%2Fnlp_natural_language_processing","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/huseyincenik%2Fnlp_natural_language_processing/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/huseyincenik%2Fnlp_natural_language_processing/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/huseyincenik%2Fnlp_natural_language_processing/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/huseyincenik","download_url":"https://codeload.github.com/huseyincenik/nlp_natural_language_processing/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":227621914,"owners_count":17795021,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["albert","bart","bert-model","distilbert","gpt","gpt2","huggingface","huggingface-transformers","natural-language-processing","nlp","nlp-machine-learning","nltk-library","roberta","roberta-model","sentiment-analysis","t5","xlnet"],"created_at":"2024-12-01T20:09:24.843Z","updated_at":"2024-12-01T20:09:25.544Z","avatar_url":"https://github.com/huseyincenik.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# NLP - Natural Language Processing with Python\n\n![image](https://github.com/huseyincenik/nlp_natural_language_processing/assets/127469334/8ddb6700-e38b-4de9-a272-8cf6c8c4e4b8)\n\n[Credit](https://www.google.com/url?sa=i\u0026url=https%3A%2F%2Famazinum.com%2Finsights%2Fwhat-is-nlp-and-how-it-is-implemented-in-our-lives%2F\u0026psig=AOvVaw2FXM9w7OuamLSzuE_O2kzy\u0026ust=1702465524295000\u0026source=images\u0026cd=vfe\u0026opi=89978449\u0026ved=0CBIQjRxqFwoTCIDL57jgiYMDFQAAAAAdAAAAABAD)\n\nWelcome to the Natural Language Processing (NLP) project repository! This project is dedicated to various Natural Language Processing tasks using Python.\n\n## Overview\nNatural Language Processing involves the application of machine learning and deep learning techniques to understand and process human language. This repository serves as a comprehensive resource for various NLP tasks implemented in Python.\n\n## Key Features\n- **Text Classification:** Implementing classifiers for various text categories.\n- **Named Entity Recognition (NER):** Identifying and classifying named entities in text.\n- **Sentiment Analysis:** Determining the sentiment of textual content.\n- **Language Translation:** Building models for language translation tasks.\n- **Speech Recognition:** Processing and recognizing spoken language.\n\n  \n## Projects\n| Project Name                                               | Description                                                                                           | Kaggle | GitHub |\n|-----------------------------------------------------------|-------------------------------------------------------------------------------------------------------|--------|--------|\n| Sentiment Analysis: Predicting Product Recommendations via Text Analysis | This project focuses on sentiment analysis to predict product recommendations through advanced text analysis techniques. Explore various machine learning algorithms and deep learning models for accurate predictions. | [Kaggle](https://www.kaggle.com/huseyincenik/sentiment-analysis-predicting-product-recommends) | [GitHub](https://github.com/huseyincenik/nlp_natural_language_processing/tree/main/sentiment_analysis_predicting_product_recommendations_via_text_analysis) |\n| Sentiment Analysis on Movie Reviews | This project explores various pre-trained models for sentiment analysis on movie reviews. By leveraging Kaggle's TPU, I trained BERT, RoBERTa, DistilBERT, XLNet, GPT, BART, MobileBERT, ALBERT, and ELECTRA models, each for a maximum of 2 epochs to prevent overfitting. | [Kaggle Notebook 1](https://www.kaggle.com/code/huseyincenik/transformers-for-sentiment-classification-1) [Kaggle Notebook 2](https://www.kaggle.com/code/huseyincenik/transformers-for-sentiment-classification-2) | [GitHub](https://github.com/huseyincenik/nlp_natural_language_processing/tree/main/projects/transformers_for_sentiment_classification) |\n| Medical RAG QA App | A question-answering application for medical queries using Meditron 7B LLM, Qdrant Vector Database, and PubMedBERT Embedding Model. | - | [GitHub](https://github.com/huseyincenik/nlp_natural_language_processing/tree/main/projects/rag/medical_rag_qa_app)  |\n\n\n## Libraries and Tools\nKey libraries and frameworks used in this project:\n- [NLTK](https://www.nltk.org/)\n- [spaCy](https://spacy.io/)\n- [Transformers](https://huggingface.co/transformers/)\n- [TextBlob](https://textblob.readthedocs.io/)\n- [SpeechRecognition](https://pypi.org/project/SpeechRecognition/)\n\n## Getting Started\n1. Clone the repository:\n   ```bash\n   git clone https://github.com/huseyincenik/nlp_natural_language_processing.git\n\n[![](https://visitcount.itsvg.in/api?id=huseyincenik.nlp_natural_language_processing\u0026label=Visiter%20Count\u0026color=10\u0026icon=9\u0026pretty=false)](https://visitcount.itsvg.in)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhuseyincenik%2Fnlp_natural_language_processing","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fhuseyincenik%2Fnlp_natural_language_processing","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhuseyincenik%2Fnlp_natural_language_processing/lists"}