Amazon Reviews Sentiment Classifications and Textual Similarities with Universal Sentence Encoder.

In this demo, we illustrate the the possibility of using Semantic Search + Recognising Textual Entailment with Gradio to build an automated fact checking tool

Playground/toolkit para probar distintos modelos de embeddings, hacer búsquedas de similitud entre queries y datasets que subas.

Computing (and experimenting with) sentence embeddings in Python

Three different methods namely TFIDF, word average embedding method and inverse document frequency method were used to build a text matching system. The systems were tested on the first 100 questions which were duplicate. A maximum accuracy score of 77% and 67% in top5 and top 2 matches was obtained using average word model.

State-of-the-Art Ember embedding model for retrieval augmented generation

The project's goal is to help job seekers understand the basic qualifications for specific jobs and evaluate the suitability of their skills for those positions. Additionally, the program aims to assist recruiters in enhancing their resume selection processes by analyzing and understanding job advertisements ....

RecurrentGPT (unofficial)

Sentence Embeddings with BERT & XLNet

NLP Project - Sentence Classification - Toxicity- Approx 20,000 comments - ranging from 2 to 30 words. Balanced Data Set. 1. Traditional, pre-2010 NLP and ML techniques used. 2. Dense Word Vectors - w2v & Glove, sentence vector created from averaged word vectors, ANN. 3. Glove combined with bi-LSTMs and 2D Convs.

Streamlit web application for tc*, a tool that can be used to flag non-standard clauses in Terms & Conditions agreements.

City-Data.com Corpus Python Recipes

using sentence-transformer model for embeddings and streamlit for frontend

Code for "A Framework for detecting Depression on Social Media: MentalRiskES@IberLEF 2023"

Data and scripts for training the open source PDF questionnaire extraction component for Harmony Kaggle competition using natural language processing (NLP)

Using different technique to deal with Text Classification for Sentimental Analsysi from the a base TF-IDF encoding to pre-trained sentence embeddings.

Using Local & Sagemaker Provisioned sentence transformer in Python

Code Repository for AKRaNLU @ CLEF JOKER 2023: Using Sentence Embeddings and Multilingual Models to Detect and Interpret Wordplay

Word2vec, sentenceBert, BM25 and IVFFlat Index quality and speed comparison