text-representation

Text preprocessing, representation and visualization from zero to hero.

Text preprocessing, representation, similarity calculation, text search and classification. Let's go and play with text!

A Python framework for automating domain-agnostic and domain-specific Knowledge Graphs from unstructured text. Integrates NLP and Neo4j for entity extraction, relationship mapping, and semantic enrichment. Ideal for text mining and analytics, with support for temporal and event tagging.

GraphOfDocs: Representing multiple documents as a single graph

(EMNLP 2023 Findings) Text2Tree: Aligning Text Representation to the Label Tree Hierarchy for Imbalanced Medical Classification.

This package integrates many basic Chinese NLP functions, making Python-based Chinese word processing and information extraction simple and convenient.

Modelling and analyzing the Covid19 Open Research using the GraphOfDocs model.

Tutorial to demonstrate the power of Texthero which is a library used for Text preprocessing, representation and visualization from zero to hero.

The Text-Graph-Ontology

🪄⚡️ Documentation, data and code used to do Text Processing, Text Representation, Topic Modeling and Text Summarization for 2022/23 Text Mining project @ University of Milano-Bicocca

A compositional approach to phrase embeddings

Text Classification/Sentiment Analysis using IMDB Datasets

This repository contains code for all assignments in the Multimedia Computing and Applications (CSE563) course.

A repo about the architecture and methods of chinese text multiClassification,which may be include classification algorithms and deep learning method.

Bag of Words Implementation in Python

Pemodelan klasifikasi menggunakan data product dari sebuah ecommerce dengan ketentuan yang diberikan

Shall I work with them? A ‘knowledge graph’-based approach for predicting future research collaborations

a useful parser that extract discord-supported emojis from a text

KeypartX is a graph-based approach to represent perception (text in general) by key parts of speech.

Natural Language Processing (NLP) is a captivating field at the intersection of computer science and linguistics. It enables machines to understand, interpret, and respond to human language in a way that is both meaningful and useful. From chatbots to sentiment analysis, NLP applications are transforming industries and enhancing user experiences.