text-analytics-with-python - Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer

•    Python

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Derive useful insights from your data using Python. Learn the techniques related to natural language processing and text analytics, and gain the skills to know which technique is best suited to solve a particular problem. A structured and comprehensive approach is followed in this book so that readers with little or no experience do not find themselves overwhelmed. You will start with the basics of natural language and Python and move on to advanced analytical and machine learning concepts. You will look at each technique and algorithm with both a bird's eye view to understand how it can be used as well as with a microscopic view to understand the mathematical concepts and to implement them to solve your own problems.

text-analytics text-summarization text-classification natural-language natural-language-processing clustering sentiment semantic sentiment-analysis nltk stanford-nlp spacy pattern scikit-learn gensim

Gate - General Architecture for Text Engineering

•    Java

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GATE excels at text analysis of all shapes and sizes. It provides support for diverse language processing tasks such as parsers, morphology, tagging, Information Retrieval tools, Information Extraction components for various languages, and many others. It provides support to measure, evaluate, model and persist the data structure. It could analyze text or speech. It has built-in support for machine learning and also adds support for different implementation of machine learning via plugin.

text-extraction text-analysis content-connector text-processing nlp

nlp-with-ruby - Practical Natural Language Processing done in Ruby.

•    Ruby

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This curated list comprises awesome resources, libraries, information sources about computational processing of texts in human languages with the Ruby programming language. That field is often referred to as NLP, Computational Linguistics, HLT (Human Language Technology) and can be brought in conjunction with Artificial Intelligence, Machine Learning, Information Retrieval, Text Mining, Knowledge Extraction and other related disciplines. This list comes from our day to day work on Language Models and NLP Tools. Read why this list is awesome. Our FAQ describes the important decisions and useful answers you may be interested in.

machine-learning natural-language-processing nlp sentiment-analysis pos-tag awesome awesome-list list computational-linguistics rubynlp rubyml

TextBlob - Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more

•    Python

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TextBlob is a Python (2 and 3) library for processing textual data. It provides a simple API for diving into common natural language processing (NLP) tasks such as part-of-speech tagging, noun phrase extraction, sentiment analysis, classification, translation, and more. TextBlob stands on the giant shoulders of NLTK and pattern, and plays nicely with both.

nlp nltk pattern python-3 python-2 natural-language-processing

BotSharp - The Open Source AI Chatbot Platform Builder in 100% C# Running in

•    CSharp

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BotSharp is an open source machine learning framework for AI Bot platform builder. This project involves natural language understanding, computer vision and audio processing technologies, and aims to promote the development and application of intelligent robot assistants in information systems. Out-of-the-box machine learning algorithms allow ordinary programmers to develop artificial intelligence applications faster and easier. It's witten in C# running on .Net Core that is full cross-platform framework. C# is a enterprise grade programming language which is widely used to code business logic in information management related system. More friendly to corporate developers. BotSharp adopts machine learning algrithm in C# directly. That will facilitate the feature of the typed language C#, and be more easier when refactoring code in system scope.

artificial-intelligence natural-language-processing chatbot chatbot-framework nlp nlu automation

Stanza - A Python NLP Library for Many Human Languages

•    Python

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Stanza is a Python NLP Library for Many Human Languages. It contains support for running various accurate natural language processing tools on 60+ languages and for accessing the Java Stanford CoreNLP software from Python. A new collection of biomedical and clinical English model packages are now available, offering seamless experience for syntactic analysis and named entity recognition (NER) from biomedical literature text and clinical notes.

nlp machine-learning natural-language-processing deep-learning pytorch artificial-intelligence named-entity-recognition universal-dependencies corenlp

practical-machine-learning-with-python - Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system

•    Jupyter

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"Data is the new oil" is a saying which you must have heard by now along with the huge interest building up around Big Data and Machine Learning in the recent past along with Artificial Intelligence and Deep Learning. Besides this, data scientists have been termed as having "The sexiest job in the 21st Century" which makes it all the more worthwhile to build up some valuable expertise in these areas. Getting started with machine learning in the real world can be overwhelming with the vast amount of resources out there on the web. "Practical Machine Learning with Python" follows a structured and comprehensive three-tiered approach packed with concepts, methodologies, hands-on examples, and code. This book is packed with over 500 pages of useful information which helps its readers master the essential skills needed to recognize and solve complex problems with Machine Learning and Deep Learning by following a data-driven mindset. By using real-world case studies that leverage the popular Python Machine Learning ecosystem, this book is your perfect companion for learning the art and science of Machine Learning to become a successful practitioner. The concepts, techniques, tools, frameworks, and methodologies used in this book will teach you how to think, design, build, and execute Machine Learning systems and projects successfully.

machine-learning deep-learning text-analytics classification clustering natural-language-processing computer-vision data-science spacy nltk scikit-learn prophet time-series-analysis convolutional-neural-networks tensorflow keras statsmodels pandas deep-neural-networks

Repo-2017 - Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano

•    Python

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Welcome to my GitHub repo. I am a Data Scientist and I code in R, Python and Wolfram Mathematica. Here you will find some Machine Learning, Deep Learning, Natural Language Processing and Artificial Intelligence models I developed.

anomaly-detection deep-learning autoencoder keras keras-models denoising-autoencoders generative-adversarial-network glove keras-layer word2vec nlp natural-language-processing sentiment-analysis opencv segnet resnet-50 variational-autoencoder t-sne svm-classifier latent-dirichlet-allocation

Camunda - Platform for Workflow and Business Process Management

•    Java

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Camunda is an open source platform for workflow and business process management. You can model and execute BPMN 2.0, CMMN 1.1 and DMN 1.1. Camunda's core is a rock-solid, freaking fast execution engine that is horizontally scalable and comes with helpful web applications.

business-process-management bpm workflow bpmn cmmn dmn process-automation

karate - Test Automation Made Simple

•    Java

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Karate is the only open-source tool to combine API test-automation, mocks, performance-testing and even UI automation into a single, unified framework. The BDD syntax popularized by Cucumber is language-neutral, and easy for even non-programmers. Assertions and HTML reports are built-in, and you can run tests in parallel for speed.

testing automation microservices webdriver bdd mock-server load-testing assertions test-automation gherkin cucumber developer-tools testing-tools api-testing contract-testing automated-testing testing-framework

NeuronBlocks - NLP DNN Toolkit - Building Your NLP DNN Models Like Playing Lego

•    Python

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NeuronBlocks is a NLP deep learning modeling toolkit that helps engineers/researchers to build end-to-end pipelines for neural network model training for NLP tasks. The main goal of this toolkit is to minimize developing cost for NLP deep neural network model building, including both training and inference stages. NeuronBlocks consists of two major components: Block Zoo and Model Zoo.

question-answering deep-learning pytorch natural-language-processing text-classification artificial-intelligence dnn qna text-matching knowledge-distillation model-compression

troll - Language sentiment analysis and neural networks... for trolls.

•    Javascript

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Troll is a tool for performing sentiment analysis (ie: "is this naughty or nice") on arbitrary blocks of text and associating it with a unique user. Using this data, combined with a rather naïve neural network and some training data, users can be indentified as "trolls".

neural-network sentiment-analysis sentiment nlp moderation

doccano - Open source annotation tool for machine learning practitioners.

•    Python

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doccano is an open source text annotation tool for humans. It provides annotation features for text classification, sequence labeling and sequence to sequence tasks. So, you can create labeled data for sentiment analysis, named entity recognition, text summarization and so on. Just create a project, upload data and start annotating. You can build a dataset in hours. You can try the annotation demo.

machine-learning natural-language-processing vuejs vue nuxt dataset datasets nuxtjs annotation-tool text-annotation data-labeling

Business Process Automation (BPA)

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BPA is a project initiative to develop an ERP which will integrate with work flow of an organization. It is build on the concept that all business process is initiated through a request and it is processed in organizational hierarchy.

business-process business-workflow crm erp hr-management marketing-automation office-automation

n8n - Workflow Automation Tool

•    Typescript

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n8n (pronounced n-eight-n) is an extendable workflow automation tool. It helps you to interconnect every app with an API in the world with each other to share and manipulate its data without a single line of code. It is an easy to use, user-friendly and highly customizable service, which uses an intuitive user interface for you to design your unique workflows very fast. Hosted on your server and not based in the cloud, it keeps your sensible data very secure in your own trusted database.

cli workflow integrations development automation node iaas data-flow self-hosted ipaas apis automated workflow-automation low-code integration-framework low-code-development-platform low-code-plattform no-code

CoreNLP - Stanford CoreNLP: A Java suite of core NLP tools.

•    Java

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Stanford CoreNLP provides a set of natural language analysis tools which can take raw English language text input and give the base forms of words, their parts of speech, whether they are names of companies, people, etc., normalize dates, times, and numeric quantities, mark up the structure of sentences in terms of phrases and word dependencies, and indicate which noun phrases refer to the same entities. It provides the foundational building blocks for higher level text understanding applications.

natural-language-processing nlp nlp-parsing named-entity-recognition stanford-nlp

Schedulix - Enterprise Job Scheduling System

•    Java

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Schedulix is the Open Source Enterprise Job Scheduling System, which meets the complex requirements of modern IT process automation. It helps to create Complex workflow, Hierarchical workflow modelling, Workflows can be dynamically submitted or paralleled, Automatic reruns of sub-workflow, Load balancing, Sticky allocations, Time scheduling and lot more.

scheduler job-scheduler job workflow process process-automation cron

lowdefy - An open-source, self-hosted, low-code framework to build internal tools, web apps, admin panels, BI dashboards, workflows, and CRUD apps with YAML or JSON

•    Javascript

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Lowdefy is an open-source (Apache-2.0) low-code framework that lets you build web apps with YAML or JSON configuration files. It is great for building admin panels, BI dashboards, workflows, and CRUD apps. We are working on expanding the list of connections, and you can vote for the ones you need here.

docker yaml internal-tools automation serverless web-app selfhosted webdev workflow-automation low-code internal-tool low-code-development-platform admin-panels lowcode web-app-generator low-code-platform low-code-framework lowdefy crud-apps bi-dashboards

Budibase - Low code platform that helps IT professionals build, automate and self-host internal tools in minutes

•    Javascript

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Budibase is an open-source low-code platform, helping developers and IT professionals build, automate, and ship internal tools on their own infrastructure in minutes. Build and ship real software. Unlike other platforms, with Budibase you build and ship single page applications. Budibase applications have performance baked in and can be designed responsively, providing your users with a great experience.

docker internal-tools automation opensource web-development docker-compose selfhosted developer-tools webdev webdevelopment web-dev workflow-automation web-development-tools low-code internal-tool internal-project nocode low-code-development-platform lowcode low-code-development

gensim - Topic Modelling for Humans

•    Python

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Gensim is a Python library for topic modelling, document indexing and similarity retrieval with large corpora. Target audience is the natural language processing (NLP) and information retrieval (IR) community. If this feature list left you scratching your head, you can first read more about the Vector Space Model and unsupervised document analysis on Wikipedia.

gensim topic-modeling information-retrieval machine-learning natural-language-processing nlp data-science data-mining word2vec word-embeddings text-summarization neural-network document-similarity word-similarity fasttext