利用Doc2Vec计算文本相似度

This streamlitapp is built for employers looking to match best candidate resumes against a particular job description.

Extract the summary from the given text using Convolution Neural Network

This repository is a collection of six minor projects focused on Natural Language Processing (NLP) along with relevant datasets. The projects are designed to help individuals gain a better understanding of NLP by applying concepts to real-world problems. Additionally, the repository includes a file that provides a comprehensive overview of NLP .

Custom word embeddings created from latent features generated by gensim and hugging face models

Text classification is the task of assigning a set of predefined categories to free text. Text classifiers can be used to organize, structure, and categorize pretty much anything. For example, new articles can be organized by topics, support tickets can be organized by urgency, chat conversations can be organized by language, brand mentions can …

Proof of concept project that implements a keyword search (text similarity) over a corpus

A prototype legal text search engine that uses a semantic search algorithm in order to find related keywords and sort the results by relevance.

Code, données et documentations de l'atelier "Apprentissage automatique pour la classification textuelle" organisé dans le cadre de l'Action Nationale de Formation "Exploration documentaire et extraction d'information" CNRS-INRAE en 2020-21.

Cluster documents with Fuzzy-ART and PV-DM

This app uses Machine Learning NLP/topic modeling/document similarity techniques to group OMSCS CS-6460 Fall 2018 students by interests based on their essays/writing assignments

Sentiment analysis is part of the NLP techniques that consists in extracting emotions related to some raw texts.

Using digital form of the actual scripts of the 'Star Trek' science fiction series to perform interesting NLP tasks and answering some questions on Topic Modelling, Character properties and the plot as a whole.

2023년 7월 논문게재(한국벤처창업연구) : COVID-19에 따른 글로벌 창업 트렌드 분석: Cruchbase를 중심으로(Analysis of Global Entrepreneurship Trends Due to COVID-19: Focusing on Crunchbase, 1저자

A project featuring the use of various NLP techniques and ML algorithms like the topic modelling and paragraph embeddings, for document clustering. 📰📚

Document-level semantic clustering. Unsupervised topic modelling.

Indonesia Constitution Question Answering System (Telegram Bot, Streamlit Page, and HTTP API)

Personality Inferencing ML