Practicing NLP with Victor Hugo's Les Misérables
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Updated
Jun 13, 2024 - Python
Practicing NLP with Victor Hugo's Les Misérables
Laboratory 3 - Retrieval Information
Laboratory 2 - Retrieval Information
Data Pre-processing Application/UI is a simple UI which can automate repitive tasks, while ensuring consistency and efficiency in NLP data preprocessing.
Natural language toolkit for Indonesian Language (Bahasa)
🍊 📄 Text Mining add-on for Orange3
Customer sentiment analysis is the process of using natural language processing (NLP) and machine learning techniques to analyze and understand the feelings, opinions, and attitudes expressed by customers in textual data, such as reviews, feedback, and social media posts.
State-of-the-art, lightweight NLP tools for Turkish language. Developed by VNGRS.
AIO Data Cleaning: Python application using Tkinter for text file manipulation, featuring functions such as case conversion, lemmatization, stemming, and more.
Two-part information retrieval system: 1) Pre-process text files, generate TF-IDF matrix and inverted index. 2) Retrieve relevant documents ranked by cosine similarity for given queries.
This repository contains what I'm learning about NLP
AI Chatbot using Deep Learning and Natural Language Processing
Data Preprocessing and Feature Extraction
Data Mining, Clustering and Classification
Information retrieval from basic concepts (tokenization, stop word removal, stemming, TF-IDF, etc.)
A suite of Arabic natural language processing tools developed by the CAMeL Lab at New York University Abu Dhabi.
Python NLP ToolBox
Text preprocessing, indexer constructions, and search engines implementation for information retrieval. Performance analysis done by measuring the construction time of indexers.
Turkish Morphological Analyzer with dictionaries for stems and suffixes + Neural Morphological Disambiguation implemented in DyNet
Long english text passages are given, a genuine topic is needed to be assigned to the particular text passage. After cleaning the dataset, features were learnt using thidf approach, Linear SVC is used to get the final prediction
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