A simple NLP library allows profiling datasets with one or more text columns. When given a dataset and a column name containing text data, NLP Profiler will return either high-level insights or low-level/granular statistical information about the text in that column.

CNN-based model to realize aspect extraction of restaurant reviews based on pre-trained word embeddings and part-of-speech tagging

Natural Language Processing (NLP). Covering topics such as Tokenization, Part Of Speech tagging (POS), Machine translation, Named Entity Recognition (NER), Classification, and Sentiment analysis.

RaKUn 2.0 - A fast keyword detection algorithm

Natural language understanding library for chatbots with intent recognition and entity extraction.

simple rule based named entity recognition

基于深度学习的中文NLP工具

Medical domain-focused GPT-2 fine-tuning, optimization, and lightweighting research repository (compared to GPT-4).

how to build up Knowledge graph

https://pypi.org/project/iNLP/

Feet is a tool for extracting entities from a text according to dictionaries.

Plots a word association graph between the nouns in a given text with the adjectives and verbs in the text

Kevin is an advanced AI Software Engineer designed to streamline various tasks related to programming and project management. With sophisticated capabilities in code generation, Kevin can assist users in translating ideas into functional code efficiently.

This is a simple library for extracting keywords from data with/without using a corpus.

Smart eye glasses, it is an AI based audio transcriber for visually impaired. It helps visually challenged people to read books and novels by themselves even in the absence of guide.

A small tool to normalize and extract values from unstructured text messages.

A novel approach to data retrieval from tagged databases using only natural language audio queries

This repository contains a Streamlit dashboard used to analyze the sentiments of tweets about US airlines. The application displays visualizations and breakdowns of tweet sentiment, time of day, airline choice, and word cloud for specific sentiments.

Stock Sentinel is a web app providing stock market investors with sentiment analysis and news aggregation. It uses FinBERT for sentiment analysis and offers stock information, similar stocks suggestions, summaries, and news stories. With real-time insights, it helps users make informed investment decisions. Installation is easy with cloning, depend

The project focuses on extracting and structuring key details from resumes such as names, contact information, education, and work experience, into a user-friendly interface for efficient review and management. Additionally, It supports bulk upload of resumes.