This Flask application integrates with MongoDB for user data storage and utilizes various APIs for natural language processing tasks such as sentiment analysis, named entity recognition (NER), and emotion detection. Tailwind CSS is used for styling the frontend.

Модель NER для определения названий компаний, стандартов госта и названий товаров с точностью 97%

This project is to develop a named entity recognition (NER) model to identity medical entities such as diseases, symptoms, treatments in the unstructured medical text written in natural language.

Jargon is a Named-Entity-Recognition approach to automating the analysis of terms-and-conditions or privacy-policies.

My first website using Flask, I also used an external API for Name Entity Recognition(NER) and Sentiment Analysis

Méthode de création d'un graphe géo-historique à partir des entrées extraites des annuaires du commerce de Paris (XIXème siècle) et carte web : application aux photographes

使用知识图谱，自然语言处理，卷积神经网络等技术，基于python语言，设计了一个数控领域故障诊断专家系统

Named entity identification for electronic medical records using HMM

DFLER: Drone Flight Log Entity Recognizer to Support Forensic Investigation on Drone Device

We bridge the AI gap for you

AlpacaTag: An Active Learning-based Crowd Annotation Framework for Sequence Tagging (ACL 2019 Demo)

An application for accumulating all disaster updates in one forum, parsing them and manipulating the data so that only accurate information reaches the people. Features include SOS, mapping, video surveillance and many more features to come.

This is Demo for Spacy library for named entity recognition

Code from the Hackaton #DJJewish2022 for NER Mitteilungsblatt

My solutions for excercises in topics of semantic data. If you found some of my code useful, please leave a star :)

The keywords of biomedical materials are extracted with biomedical and clinical syntactic analysis and named entity recognition models offered in Stanza.

Development of a starter dataset for Security Force Monitor NLP projects

Notebooks for teaching Named Entity Recognition at the Cultural Heritage Data School, run by Cambridge Digital Humanities

🚀SpAnnor annotator for Named Entity Recognition easy to use tool. The annotator allows users to quickly assign custom labels to one or more entities in the text. Easy to setup for Data Training for SpaCy 🔥.