universal-sentence-encoder
There are 62 repositories under universal-sentence-encoder topic.
Hellisotherpeople/CX_DB8
a contextual, biasable, word-or-sentence-or-paragraph extractive summarizer powered by the latest in text embeddings (Bert, Universal Sentence Encoder, Flair)
massanishi/document_similarity_algorithms_experiments
Document similarity algorithms experiment - Jaccard, TF-IDF, Doc2vec, USE, and BERT.
limcheekin/open-text-embeddings
Open Source Text Embedding Models with OpenAI Compatible API
Revmaker/innatis
A Rasa NLU component library
zayedrais/DocumentSearchEngine
Document Search Engine project with TF-IDF abd Google universal sentence encoder model
dayyass/muse-as-service
REST API for sentence tokenization and embedding using Multilingual Universal Sentence Encoder.
jatinmandav/Neural-Networks
All about Neural Networks!
korymath/jann
Hi. I am jann. I am text input - text output chatbot model that is JUST approximate nearest neighbour.
idanmoradarthas/text-summarization
Summarizer in python with Spacy and Universal Sentence Encoder build on Flask framework
hate-alert/HateALERT-EVALITA
Code for replicating results of team 'hateminers' at EVALITA-2018 for AMI task
ashalogic/Persian-Word-Embedding
Persian word embedding ( نشاننده واژه ها فارسی | تعبیه سازی کلمات فارسی )
Jay22519/Automatic-Answer-checker-
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.
daveshap/keras_asr
ASR experiment using Google's Universal Sentence Encoder
dayyass/muse_tf2pt
Convert MUSE from TensorFlow to PyTorch and ONNX
AliOsm/propaganda-detection-nlp4if
Fine-grained Propaganda Detection at NLP4IF 2019
AOK-PLUS/Sentimentanalysis
Language independent sentiment analysis
aashishyadavally/rubrix
Combined semantic similarity search based visual search engine.
lazarst96/semantic-search
Full example of semantic search system
spallas/quora-qp
Quora Questions Pair detection with Semantic Similarity
Adminixtrator/Next-Word-Prediction-using-Universal-Sentence-Encoder
Next Word Prediction using Google's Universal Sentence Encoder from Tensorflow hub. lol
nicholas-dinicola/Forecasting-stock-prices-based-on-semantic-analysis-of-business-news-and-social-media-posts
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 analysis of business news and social media posts of a particular company alongside its historical stock price data. In contrast, this project will also implement a new state of the art algorithm recently developed by the Google Research team called Universal Sentence Encoder, which is able to encode input text, implementing sentence level embeddings, into high dimensional vectors that will be used as predictors of future stock price movements. According to that, both the Sentient Analysis and the Universal Sentence Encoder will be performed and the outputs will be used as an exogenous variable in machine learning models which will be then compared with each other to find the best model with the aim of achieving a higher model accuracy, better performance and a more robust model than only using either the historical stock price data ad endogenous variable or implementing other natural language processing methodologies based on word embeddings.
Seedling-Project/SeedlingBackend
Wagtail Django Website with PostreSQL Database Focused on Providing a Central Hub of Educational Resources to the MJC Student Body
su050300/sentence-similarity
Determining similarity between two sentences in terms of semantic using pre trained Universal Sentence Encoder from TensorFlow.js
tm4roon/use-cases-of-universal-sentence-encoder
Use-cases of Google's Universal Sentence Encoder (e.g. sentence similarity, unsupervised extractive summarization).
yashkim77/Document-Similarity
Semantic Textual Similarity between two document
86lekwenshiung/Natural-Language-Processing-with-Reddit-Post
Using Random Forest , Bi Direction LSTM and Tensorflow Transfer Learning to do a text classification project. Compare model differences between tokenization and word embedding.
AkhilSoni0102/Semantic-Similarity-between-2-sentences
This repository contains a simple code to compare two sentences based on their semantic similarity scores using a Universal sentence encoder.
akshatsinghal92/Product-recommendation-analysis
Predicting product recommendation score using the data available on the website of the client
alphagov/govuk-content-similarity
Find similar GOV.UK content to a piece of text or content item
daniel-rychlewski/hateblock
Evaluates a client-side model built on top of the Universal Sentence Encoder to detect hateful content selected for the analysis
MatthewJansen/Medical-Abstract-Segmentation
A Natural Language Processing (NLP) model with TensorFlow to segment text lines of abstracts from medical research papers in order to improve readability.
Npps1997/Shack-Labs-Assignments-on-Data-Science.
Shack Labs Assignments: 1. House Price Prediction 2. Product Matching
opennlp/DeepPhrase
Using Neural Representations for Generating Intent-based Query Phrases
akulez/Text-Similarity_Phrase-Matching
Implementing Text Similarity for US Patents using modern day Word2Vec and USE(Universal Sentence Encoding) and some classical algos. like Jaro Winkler and Jaccard
faezeh-gholamrezaie/Vectorization-Techniques-tutorial
Vectorization Techniques in Natural Language Processing Tutorial for Deep Learning Researchers
hchiam/comment-analysis
comment analysis experiment