Minimal keyword extraction with BERT

Set of NLP tools.

Notebook for natural language processing tasks.

Automatic keyword extraction from scientific abstracts, medium articles, and movie reviews.

The Web Metadata Extraction Toolkit is designed to streamline the process of extracting, cleaning, and analyzing metadata from websites. Utilizing advanced AI models and custom extraction strategies, this toolkit helps users efficiently gather data like titles, descriptions, and keywords, which are crucial for SEO and content strategy.

NLP Cloud serves high performance pre-trained or custom models for NER, sentiment-analysis, classification, summarization, paraphrasing, intent classification, product description and ad generation, chatbot, grammar and spelling correction, keywords and keyphrases extraction, text generation, image generation, code generation, and much more...

This project explores how businesses can use Google search data to understand consumer interests and align marketing strategies effectively. By analyzing trends in online search behavior, marketers can optimize their campaigns to resonate with target audiences and drive better business outcomes.

A dockerized application for performing sentiment analysis, tag recognition, and text summarization on YouTube videos.

Streamlit app for exam answer evaluation and analysis

Extract Keywords from sentence or Replace keywords in sentences.

Welcome to the Keyword Processor project! This Streamlit application extracts keywords from text, fetches synonyms and antonyms via API, and displays definitions. It visualizes relationships with dynamic word clouds, providing insights into semantic contexts and linguistic analysis.

KeyPhraseTransformer lets you quickly extract key phrases, topics, themes from your text data with T5 transformer | Keyphrase extraction | Keyword extraction

A Pentesters Confluence Keyword Scanner

AdaptKeyBERT: keyword/keyphrase extraction with zero-shot and few-shot semi-supervised domain adaptation

pyKCN: A Python Tool for Bridging Scientific Knowledge

Extracts the best keyword(s) based on the input text provided, using the Open AI API.

ChunkeyBert is a minimal and easy-to-use keyword extraction technique that leverages BERT embeddings for unsupervised keyphrase extraction from long text documents.

Scripts used for keyword extraction and visualisation in our Applied Cognitive Science exam project, June 2024

The python tool with various simple methods for keywords extraction from text