This is demo repo to demostrate how to scrape post data from Facebook by Python with library facebook_scraper. And then use Azure Text Analytics to perform sentiment analysis for post text content.

This demo processes conversations in real-time with the Amazon Comprehend natural language processing (NLP) service to gain insights about what was said.

Simple project for extraction of key-phrases from single document based on Sentence Trasfomers

The sample code repository leverages Azure Text Analytics to extract key phrases from the product description as additional product features. And perform text relationship analysis with TF-IDF vectorization and Cosine Similarity for product recommendation.

This project analyzes the terminologies used in the collected corpus and identifies key trends in the study domain. By extracting key phrases and training Word2Vec embeddings, we aim to understand the evolving vocabulary and relationships between terms.

SciKey: Advanced Key Phrase Extraction and Summarization for Scientific Research

Minneapolis Tripadvisor hotel review analysis

Using Microsoft Cognitive Services to demo Text Analytics powered Searching

A content-based movie recommendation system built with Python and Streamlit using TF-IDF and Cosine Similarity.

Repository for my Master's Dissertation work

Academic project for key phrase extraction in Bengali language

Exemplo de "Análise de Sentimentos" e "Extração de Frase-chave" usando IA do Azure Text Analytics com SDK para Python