564 Open source projects that are alternatives of or similar to 2018 Dc Datagrand Textintelprocess

Resources for learning about Text Mining and Natural Language Processing

A Python package implementing a new machine learning model for text classification with visualization tools for Explainable AI

Summary of my projects on kaggle

🗣️ Tool to generate adversarial text examples and test machine learning models against them

RMDL: Random Multimodel Deep Learning for Classification

基于scikit-learn实现对新浪新闻的文本分类，数据集为100w篇文档，总计10类，测试集与训练集1:1划分。分类算法采用SVM和Bayes，其中Bayes作为baseline。

An undergraduate course on data mining.

basic algorithms and solutions

An R package for implementing augmented network log anomaly detection procedures

Multi-class text categorization using state-of-the-art pre-trained contextualized language models, e.g. BERT

Nodejs binding for fasttext representation and classification.

Open-source benchmark datasets and pretrained transformer models in the Filipino language.

TEANAPS 라이브러리를 활용한 자연어 처리와 텍스트 분석 방법론에 대해 다룹니다.

【微信公众号：大邓和他的python】, Python语法快速入门https://www.bilibili.com/video/av44384851 Python网络爬虫快速入门https://www.bilibili.com/video/av72010301, 我的联系邮箱[email protected]

BERT, LDA, and TFIDF based keyword extraction in Python

The missing SVM-based text classification module implementing HanLP's interface

Code for paper "Hierarchical Text Classification with Reinforced Label Assignment" EMNLP 2019

分别使用rnn/cnn/rcnn来实现根据患者描述，进行疾病诊断

A java implement of Biterm Topic Model

DeepClassifier is aimed at building general text classification model library.It's easy and user-friendly to build any text classification task.

Using the Tsetlin Machine to learn human-interpretable rules for high-accuracy text categorization with medical applications

Official Java client for the MonkeyLearn API. Build and consume machine learning models for language processing from your Java apps.

Python SPMF Wrapper 🐍 🎁

Simple Implementation of Network Intrusion Detection System. KddCup'99 Data set is used for this project. kdd_cup_10_percent is used for training test. correct set is used for test. PCA is used for dimension reduction. SVM and KNN supervised algorithms are the classification algorithms of project. Accuracy : %83.5 For SVM , %80 For KNN

The code for our paper "NSP-BERT: A Prompt-based Zero-Shot Learner Through an Original Pre-training Task —— Next Sentence Prediction"

Sample use case for Xavier AI in Healthcare conference: https://www.xavierhealth.org/ai-summit-day2/

用python实现SVM/AdaBoost/C4.5/CART/Naïve Bayes等数据挖掘领域十大经典算法

A PyTorch-based toolkit for natural language processing

Augmenty is an augmentation library based on spaCy for augmenting texts.

A simple Python wrapper to download tweets data from the Twitter Analytics platform. Particularly interesting for the impressions metrics that are unavailable on current Twitter API. Also works for the videos data.

Retrieve years of imgur.com's data without any authentication.

It contain various script on web crawling/ data mining of social web(RSS,facebook,twitter,Linkedin)

Genie++ Fast and Robust Hierarchical Clustering with Noise Point Detection - for Python and R

Building a model to recognize incentives for landscape restoration in environmental policies from Latin America, the US and India. Bringing NLP to the world of policy analysis through an extensible framework that includes scraping, preprocessing, active learning and text analysis pipelines.

서울시 공무원의 업무추진비를 분석하여 진짜 맛집 찾기 프로젝트

Lbl2Vec learns jointly embedded label, document and word vectors to retrieve documents with predefined topics from an unlabeled document corpus.

A Python implementation of a binary text classifier using Doc2Vec and SVM

📉 使用 R 语言从拉勾网看数据挖掘岗位现状

Jenesis Data Store: a dynamic, cross platform, high performance, ORM data-mapper. Designed to assist in rapid development and data mining

Crowdsourcing video experiments (such as collaborative benchmarking and optimization of DNN algorithms) using Collective Knowledge Framework across diverse Android devices provided by volunteers. Results are continuously aggregated in the open repository:

A ready to go text classification trainer based on synaptic (https://github.com/cazala/synaptic)

This case study shows how to create a model for text analysis and classification and deploy it as a web service in Azure cloud in order to automatically classify support tickets. This project is a proof of concept made by Microsoft (Commercial Software Engineering team) in collaboration with Endava http://endava.com/en

Text Classification in Turkish Texts with Bert

Detecting cyberbullying in tweets using Machine Learning

This repo is a collection of AWESOME things about fake news detection, including papers, code, etc.

Building a text classifier with extremely small datasets

Kaggle Twitter Sentiment Analysis Competition

Python for Text Classification with Machine Learning in Python 3.6.

Implementation of FPTree-Growth and Apriori-Algorithm for finding frequent patterns in Transactional Database.

HiGitClass: Keyword-Driven Hierarchical Classification of GitHub Repositories (ICDM'19)

UC Berkeley team's submission for RecSys Challenge 2018

Interactive CLI Web Crawler

Evidence-based Explanation Dataset (AACL-IJCNLP 2020)

Генератор сырых дампов пользователей VK.

Target-dependent sentiment classification in news articles reporting on political events. Includes a high-quality data set of over 11k sentences and a state-of-the-art classification model.

Machine Learning (EE 5184) in NTU

Computational synthetic biology: Predicting DNA edits for bioengineering

Genie: A Fast and Robust Hierarchical Clustering Algorithm (this R package has now been superseded by genieclust)

Caver: a toolkit for multilabel text classification.

(Explainable AI) - Learning Non-Monotonic Logic Programs From Statistical Models Using High-Utility Itemset Mining