Python Opinion-mining Resources

A python toolbox/library for data mining on partially-observed time series, supporting tasks of forecasting/imputation/classification/clustering on incomplete multivariate time series with missing values.

Project: Text Analysis - This project aims to conduct a text information retrieval and text mining on medical research publication regarding Covid19 -

Crowd-Kit: Computational Quality Control for Crowdsourcing Documentation Crowd-Kit is a powerful Python library that implements commonly-used aggregat

hh_ru_research Проект реализован в учебных целях анализа рынка труда, в особенности по hh.ru Input data В качестве входных данных используются сериали

CLASSIX Fast and explainable clustering based on sorting CLASSIX is a fast and explainable clustering algorithm based on sorting. Here are a few highl

NiceHash Mining Scheduler Use this script to schedule your NiceHash Miner(s). Electricity costs between 4-9pm are high in my area and I want NiceHash

GraphNLI: A Graph-based Natural Language Inference Model for Polarity Prediction in Online Debates Vibhor Agarwal, Sagar Joglekar, Anthony P. Young an

AALU_Geo Mining This repository is produced for a masterclass at the Architectural Association Landscape Urbanism programme. Requirements Rhinoceros (

Driver Analysis with Factors and Forests: An Automated Data Science Tool using Python 📊

WikiPron WikiPron is a command-line tool and Python API for mining multilingual pronunciation data from Wiktionary, as well as a database of pronuncia

FinerFact This is the PyTorch implementation for the FinerFact model in the AAAI 2022 paper Towards Fine-Grained Reasoning for Fake News Detection (Ar

ARM This jupyter notebook project was completed by me and my friend using the dataset from Kaggle. The world Happiness 2017, which ranks 155 countries

Feature engineering and machine learning: together at last! Lambdo is a workflow engine which significantly simplifies data analysis by unifying featu

**Tutorials, examples, collections, and everything else that falls into the categories: pattern classification, machine learning, and data mining.** S

Awesome production machine learning This repository contains a curated list of awesome open source libraries that will help you deploy, monitor, versi

🎮 Awesome Game Datasets In computer science, Artificial Intelligence (AI) is intelligence demonstrated by machines. Its definition, AI research as th

AWESOME DATA SCIENCE An open source Data Science repository to learn and apply towards solving real world problems. This is a shortcut path to start s

Astrostatistics Davide Gerosa - [email protected] University of Milano-Bicocca, 2022. Schedule Introduction Probability and Statistics I Probabi

AlienWorlds bot A Python script designed to automate the tedious work of mining

This is the course project of AI3602: Data Mining of SJTU. Group Members include Jinghao Feng, Mingyang Jiang and Wenzhong Zheng.

DistilBERT-Text-mining-authorship-attribution Dataset used: https://www.kaggle.com/azimulh/tweets-data-for-authorship-attribution-modelling/version/2

BERN2 We present BERN2 (Advanced Biomedical Entity Recognition and Normalization), a tool that improves the previous neural network-based NER tool by

BERN2 We present BERN2 (Advanced Biomedical Entity Recognition and Normalization), a tool that improves the previous neural network-based NER tool by

Fake news detection Implements a fake news detection program using classifiers for Data Mining course at UoA. Description The project is the categoriz

Python Outlier Detection (PyOD) Deployment & Documentation & Stats & License PyOD is a comprehensive and scalable Python toolkit for detecting outlyin

Introduction PAMI stands for PAttern MIning. It constitutes several pattern mining algorithms to discover interesting patterns in transactional/tempor

Anomaly Detection Learning Resources Outlier Detection (also known as Anomaly Detection) is an exciting yet challenging field, which aims to identify

BERN2 We present BERN2 (Advanced Biomedical Entity Recognition and Normalization

Introduction This is a crawler I wrote in Python using the APIs of Telethon months ago. This tool was not intended to be publicly available for a numb

Churn-Prediction-Project In this project, a churn prediction model is developed for a private bank as a term project for Data Mining class. Project in

Awesome AI books Some awesome AI related books and pdfs for downloading and learning. Preface This repo only used for learning, do not use in business

Mining the Social Web, 3rd Edition The official code repository for Mining the Social Web, 3rd Edition (O'Reilly, 2019). The book is available from Am

Apriori Apriori is an algorithm for frequent item set mining and association rul

Vibrating Perimeter This project consists of a small minecraft helper mod that writes too a log file and a script that reads said log. Currently it on

IMBENS: Class-imbalanced Ensemble Learning in Python Language: English | Chinese/中文 Links: Documentation | Gallery | PyPI | Changelog | Source | Downl

SelfTask-GNN A PyTorch implementation of "Self-supervised Learning on Graphs: Deep Insights and New Directions". [paper] In this paper, we first deepe

CleverCSV is a Python package for handling messy CSV files. It provides a drop-in replacement for the builtin CSV module with improved dialect detection, and comes with a handy command line application for working with CSV files.

Codes-for-Algorithms Codes for realizing theories learned from Data Mining, Machine Learning, Deep Learning without using the present Python packages.

Fine-grainedImageClassification Weakly Supervised Posture Mining with Reverse Cross-entropy for Fine-grained Classification We trained model here: lin

Kaggle-Comp.-Data-Mining Kaggle Competition using 15 numerical predictors to predict a continuous outcome as part of a final project for a stats data

Aspect-Category-Opinion-Sentiment (ACOS) Quadruple Extraction This repo contains the data sets and source code of our paper: Aspect-Category-Opinion-S

This is a Python script that given a whole corpus of job descriptions and a file with keywords it extracts the number of number of ocurrences of these keywords and write it to a file. This script it is easy to extend to accept more functionalities

Papers about explainability of GNNs

NLP-Pytorch-Assignment An assignment from my grad-level data mining course (before I started personal projects) demonstrating some experience with NLP

MatrixProfile MatrixProfile is a Python 3 library, brought to you by the Matrix Profile Foundation, for mining time series data. The Matrix Profile is

Short Text Mining in Python Introduction This package shorttext is a Python package that facilitates supervised and unsupervised learning for short te

IMBENS: class-imbalanced ensemble learning in Python. Links: [Documentation] [Gallery] [PyPI] [Changelog] [Source] [Download] [知乎/Zhihu] [中文README] [a

PyConverse Let me try first Installation pip install pyconverse Usage Please try this notebook that demos the core functionalities: basic usage noteb

Command line utilities for tabular data files This is a set of command line utilities for manipulating large tabular data files. Files of numeric and

Feature Engineering & Feature Selection A comprehensive guide [pdf] [markdown] for Feature Engineering and Feature Selection, with implementations and

pyclustering is a Python, C++ data mining library (clustering algorithm, oscillatory networks, neural networks). The library provides Python and C++ implementations (C++ pyclustering library) of each algorithm or model. C++ pyclustering library is a part of pyclustering and supported for Linux, Windows and MacOS operating systems.

FCPS Fundamental Clustering Problems Suite The package provides over sixty state-of-the-art clustering algorithms for unsupervised machine learning pu

GENDIS GENetic DIscovery of Shapelets In the time series classification domain, shapelets are small subseries that are discriminative for a certain cl

Mining the Stack Overflow Developer Survey A prototype data mining application to compare the accuracy of decision tree and random forest regression m

DeepSTD: Mining Spatio-temporal Disturbances of Multiple Context Factors for Citywide Traffic Flow Prediction This is the implementation of DeepSTD in

Introduction MASS allows you to search a time series for a subquery resulting in an array of distances. These array of distances enable you to identif

Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.

Mining Crypto with Tesla Solar and Powerwalls This script turns a crypto miner on and off when the Tesla Powerwall level drops/rises above a certain t

Mining Latent Classes for Few-shot Segmentation Lihe Yang, Wei Zhuo, Lei Qi, Yinghuan Shi, Yang Gao. This codebase contains baseline of our paper Mini

Open-source linguistic ethnography tool for framing public opinion in mediatized groups. Table of Contents Installing Quickstart Links Installing Pyth

Summary This is the source code for the paper "A Case Study and Qualitative Analysis of Simple Cross-Lingual Opinion Mining", which was accepted as fu

Association Rules Mining Using Python Implementation of association rules mining algorithms (Apriori|FPGrowth) using python. As a part of hw1 code in

LP-Option-Hedging Description A Python program to analyze leveraged liquidity farming/mining and find the optimal option combination for hedging imper

RMNA: A Neighbor Aggregation-Based Knowledge Graph Representation Learning Model Using Rule Mining Our code is based on Learning Attention-based Embed

MIRCO PyTorch implementation for paper: Latent Structures Mining with Contrastive Modality Fusion for Multimedia Recommendation Dependencies Python 3.

介绍 本仓库提供了基于币安 (Binance) 的二级市场舆情系统，可以根据自己的需求修改代码，设定各类告警提示 代码结构 binance.py - 与币安API交互 data_loader.py - 数据相关的读写 monitor.py - 监控的核心方法实现 analyze.py - 基于历史数

A large-scale database for graph representation learning

Enhancing Knowledge Tracing via Adversarial Training This repository contains source code for the paper "Enhancing Knowledge Tracing via Adversarial T

K Means Algorithm What is K Means This algorithm is an iterative algorithm that partitions the dataset according to their features into K number of pr

The HIST framework for stock trend forecasting The implementation of the paper "HIST: A Graph-based Framework for Stock Trend Forecasting via Mining C

The HIST framework for stock trend forecasting The implementation of the paper "HIST: A Graph-based Framework for Stock Trend Forecasting via Mining C

Indonesian Text Summarization Using FastAPI This is REST-API for Indonesian Text Summarization using Non-Negative Matrix Factorization for the algorit

Blue Brain Search Source Code DOI Data & Models DOI Documentation Latest Release Python Versions License Build Status Static Typing Code Style Securit

face.evoLVe: High-Performance Face Recognition Library based on PaddlePaddle & PyTorch Evolve to be more comprehensive, effective and efficient for fa

Graph Mining Author: Jiayi Chen Time: April 2021 Implemented Algorithms: Network: Scrabing Data, Network Construbtion and Network Measurement (e.g., P

XMRiGUI is free and open-source crypto miner for Linux. It uses XMRig for mining and GTK3 for GUI.

Bolt is an algorithm for compressing vectors of real-valued data and running mathematical operations directly on the compressed representations. If yo

The code and data for the paper "Aspect-Sentiment-Multiple-Opinion Triplet Extraction" Requirements Python 3.6.8 torch==1.2.0 pytorch-transformers==1.

eyes is a Public Opinion Mining System focusing on taiwanese forums such as PTT, Dcard. Features 🔥 Article monitor: helps you capture the trend at a

Research 发布基于飞桨的前沿研究工作，包括CV、NLP、KG、STDM等领域的顶会论文和比赛冠军模型。 目录 计算机视觉(Computer Vision) 自然语言处理(Natrual Language Processing) 知识图谱(Knowledge Graph) 时空数据挖掘(Spa

Research 发布基于飞桨的前沿研究工作，包括CV、NLP、KG、STDM等领域的顶会论文和比赛冠军模型。 目录 计算机视觉(Computer Vision) 自然语言处理(Natrual Language Processing) 知识图谱(Knowledge Graph) 时空数据挖掘(Spa

Co-mining: Self-Supervised Learning for Sparsely Annotated Object Detection This repository is an official implementation of the AAAI 2021 paper Co-mi

Universal Reddit Scraper - A comprehensive Reddit scraping command-line tool written in Python.

The Python Package for DataHerb A DataHerb Core Service to Create and Load Datasets.

Status: Archive (code is provided as-is, no updates expected) PPO-EWMA [Paper] This is code for training agents using PPO-EWMA and PPG-EWMA, introduce

CDN Code for our NeurIPS 2021 paper "Mining the Benefits of Two-stage and One-stage HOI Detection". Contributed by Aixi Zhang*, Yue Liao*, Si Liu, Mia

Novel Instances Mining with Pseudo-Margin Evaluation for Few-Shot Object Detection (NimPme) The official implementation of Novel Instances Mining with

face.evoLVe: High-Performance Face Recognition Library based on PaddlePaddle & PyTorch Evolve to be more comprehensive, effective and efficient for fa

The (Python-based) mining software required for the Game Boy mining project.

With DataQA, you can label unstructured text documents using rule-based distant supervision.

A production-ready pipeline for text mining and subject indexing

Learning Opinion Summarizers by Selecting Informative Reviews This repository contains the codebase and the dataset for the corresponding EMNLP 2021

Cross-Image Region Mining with Region Prototypical Network for Weakly Supervised Segmentation The code of: Cross-Image Region Mining with Region Proto

Single Node Injection Attack against Graph Neural Networks This repository is our Pytorch implementation of our paper: Single Node Injection Attack ag

Introduction The official repository for "Mining Contextual Information Beyond Image for Semantic Segmentation". Our full code has been merged into ss

RecycleD Official PyTorch implementation of the paper "Recycling Discriminator: Towards Opinion-Unaware Image Quality Assessment Using Wasserstein GAN

已经将项目的关键文件上传，包含微博爬虫、LDA主题分析和情感分析三个部分。 1.微博爬虫 实现微博评论爬取和微博用户信息爬取，一天大概十万条。 2.LDA主题分析 实现文档主题抽取，包括数据清洗及分词、主题数的确定（主题一致性和困惑度）和最优主题模型的选择（暴力搜索）。 3.情感分析 实现评论文本的

OpenHands OpenHands is a gesture recognition system powered by OpenPose, k-nearest neighbours, and local outlier factor. Currently the system can iden

ntgbtminer - Nintendo Switch edition This is a version of ntgbtminer that works with the Nintendo Switch bitcoin miner. ntgbtminer ntgbtminer is a no

BTC-Miner a BTC mining program based on python3 Our project refers to the nightminer project by ricmoo, which is written in Python2 (https://github.co