a contextual, biasable, word-or-sentence-or-paragraph extractive summarizer powered by the latest in text embeddings (Bert, Universal Sentence Encoder, Flair)

Open Source Text Embedding Models with OpenAI Compatible API

Document similarity algorithms experiment - Jaccard, TF-IDF, Doc2vec, USE, and BERT.

Document Search Engine project with TF-IDF abd Google universal sentence encoder model

REST API for sentence tokenization and embedding using Multilingual Universal Sentence Encoder.

All about Neural Networks!

Hi. I am jann. I am text input - text output chatbot model that is JUST approximate nearest neighbour.

Summarizer in python with Spacy and Universal Sentence Encoder build on Flask framework

Code for replicating results of team 'hateminers' at EVALITA-2018 for AMI task

Convert MUSE from TensorFlow to PyTorch and ONNX

Persian word embedding ( نشاننده واژه ها فارسی | تعبیه سازی کلمات فارسی )

ASR experiment using Google's Universal Sentence Encoder

Creating an automatic answer checker web application for students and teachers, for grading of the answers submitted by students against an ideal solution uploaded by the teacher.

Language independent sentiment analysis

Full example of semantic search system

Fine-grained Propaganda Detection at NLP4IF 2019

Combined semantic similarity search based visual search engine.

Context-Aware Semantic Similarity Measurement for Unsupervised Word Sense Disambiguation

It is well-known that stock price movements are highly sensitive to different types of news, including global events such as outbreaks of epidemics or military conflicts, as well as what people post about specific companies on their social networks. Previous research has studied methods to predict stock price movements based on sentiment analysi…

Quora Questions Pair detection with Semantic Similarity