24 Open source projects that are alternatives of or similar to OpnEco

Spatial Temporal Graph Convolutional Networks for Emotion Perception from Gaits

Система, анализирующая тональность текстов и высказываний.

Large, curated set of benchmark datasets for evaluating automatic keyphrase extraction algorithms.

An emotion classifier of text containing technical content from the SE domain

An Exciting Deep Learning-based Flask web app that predicts the Facial Expressions of users and also does Graphical Visualization of the Expressions.

An emotion extraction system for images, that extracts emotion which will be felt by the user of viewing the image, representing them in a 2-Dimensional space that represents Arousal and Valence.

A Python library that enables smooth keyword extraction from any text using the RAKE(Rapid Automatic Keyword Extraction) algorithm.

Kex is a python library for unsupervised keyword extraction from a document, providing an easy interface and benchmarks on 15 public datasets.

Problem Statement: Given a particular PDF/Text document ,How to extract keywords and arrange in order of their weightage using Python?

Tagify produces a set of tags from a given source. Source can be either an HTML page, a Markdown document or a plain text. Supports English, Russian, Chinese, Hindi, Spanish, Arabic, Japanese, German, Hebrew, French and Korean languages.

keywords-extract - Command line tool extract keywords from any web page.

A keyphrase extractor for Persian

Implementation of algorithm in keyword extraction,including TextRank,TF-IDF and the combination of both

Word analysis, by domain, on the Common Crawl data set for the purpose of finding industry trends

🌳从中文文本中自动提取关键词和摘要

Extract Keywords from sentence or Replace keywords in sentences.

BERT, LDA, and TFIDF based keyword extraction in Python

seq2seq based keyphrase generation model sets, including copyrnn copycnn and copytransfomer

An AI Tool to record expressions of users as they watch a video and then visualize the funniest parts of it!

PyTorch implementation of Emotic CNN methodology to recognize emotions in images using context information.

An in-depth analysis of audio classification on the RAVDESS dataset. Feature engineering, hyperparameter optimization, model evaluation, and cross-validation with a variety of ML techniques and MLP

XED multilingual emotion datasets

This is a Human Attributes Detection program with facial features extraction. It detects facial coordinates using FaceNet model and uses MXNet facial attribute extraction model for extracting 40 types of facial attributes. This solution also detects Emotion, Age and Gender along with facial attributes.

Multimodal sentiment analysis using hierarchical fusion with context modeling