1110 Open source projects that are alternatives of or similar to Nltk Book Resource

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.

NLTK Source

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.

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

Stock market analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis

NLTK Data

This repository provides everything to get started with Python for Text Mining / Natural Language Processing (NLP)

Front-end speech processing aims at extracting proper features from short- term segments of a speech utterance, known as frames. It is a pre-requisite step toward any pattern recognition problem employing speech or audio (e.g., music). Here, we are interesting in voice disorder classification. That is, to develop two-class classifiers, which can discriminate between utterances of a subject suffering from say vocal fold paralysis and utterances of a healthy subject.The mathematical modeling of the speech production system in humans suggests that an all-pole system function is justified [1-3]. As a consequence, linear prediction coefficients (LPCs) constitute a first choice for modeling the magnitute of the short-term spectrum of speech. LPC-derived cepstral coefficients are guaranteed to discriminate between the system (e.g., vocal tract) contribution and that of the excitation. Taking into account the characteristics of the human ear, the mel-frequency cepstral coefficients (MFCCs) emerged as descriptive features of the speech spectral envelope. Similarly to MFCCs, the perceptual linear prediction coefficients (PLPs) could also be derived. The aforementioned sort of speaking tradi- tional features will be tested against agnostic-features extracted by convolu- tive neural networks (CNNs) (e.g., auto-encoders) [4]. The pattern recognition step will be based on Gaussian Mixture Model based classifiers,K-nearest neighbor classifiers, Bayes classifiers, as well as Deep Neural Networks. The Massachussets Eye and Ear Infirmary Dataset (MEEI-Dataset) [5] will be exploited. At the application level, a library for feature extraction and classification in Python will be developed. Credible publicly available resources will be 1used toward achieving our goal, such as KALDI. Comparisons will be made against [6-8].

Python tutorials as Jupyter Notebooks for NLP, ML, AI

🍅 Git/AWS/Google 镜像 ,SS/SSR/VMESS节点,WireGuard,IPFS, DeepWeb,Capitalism 、行业研究报告的知识储备库

⛔ [NOT MAINTAINED] A web-based annotator for closed-domain question answering datasets with SQuAD format.

A practical web development course teaching Node.js, MongoDB, and other modern technologies

A Natural Language Toolkit for Indian Languages

Solutions for CS224n course from Stanford University: Natural Language Processing with Deep Learning

Data-centric declarative deep learning framework

Japanese IOB2 tagged corpus for Named Entity Recognition.

A simple tool to update bib entries with their official information (e.g., DBLP or the ACL anthology).

📂 Additional lookup tables and data resources for spaCy

AP Computer Science A Curriculum Materials

Blocks World -- Simulator, Code, and Models (Misra et al. EMNLP 2017)

Multilingual word vectors in 78 languages

Natural Korean Processor for Apache Spark

The greynir.is natural language processing website for Icelandic

🎓 Educational application of Hidden Markov Model to Autonomous Driving 🚕🚙🚗

Bookmarking for Developers & Co

An open relation extraction system

Generating Text using Deep Learning in Python - LSTM, RNN, Keras

Paper List for Style Transfer in Text

Uses topic modeling to identify context between follower relationships of Twitter users

GermaNet API for Python

자연어 처리와 관련한 여러 튜토리얼 저장소

Code for the collection and analysis of the MTNT dataset

Моя карта обучения Computer Science на 3 года

A workshop on data privacy methods for data scientists.

Flowchart builder and code generator.

Inhibits commits with bad messages from getting merged

TextRank implementation for Python 3.

Mycroft's multilingual text parsing and formatting library

📚 🤓 - Awesome Javascript Books

Learn advanced data science on real-life, curated problems

Musterlösungen für Klausuraufgaben am KIT

Go(lang) examples - (explain the basics of #golang)

Programming assignments from all courses in the Coursera Natural Language Processing Specialization offered by deeplearning.ai.

Pujangga - Indonesian Natural Language Processing Tool with REST API, an Interface for InaNLP and Deeplearning4j's Word2Vec

The guide to tackle with the Text Summarization

Stanford CoreNLP: A Java suite of core NLP tools.

Machine learning based text classification in JavaScript using n-grams and cosine similarity

A collection of basic python modules for spoken natural language processing

Lecture scripts and slides I use during the Software Engineering course at TU Dresden

Machine Reading Comprehension in Tensorflow

Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.

Repository for UBC's Introduction to Data Science course (DSCI 100)

Easily create native mobile applications.

💫 Automated codification of Greek Legislation with NLP

Курс "Введение в машинное обучение" (ВМК, МГУ имени М.В. Ломоносова)

Investigate how mutual funds leverage credit derivatives by studying their routine filings to the SEC using NLP techniques 📈🤑

PlannerApp is a full client-side application built with Blazor WebAssembly is a course material on AK Academy

Code. Music. Live.

Provides a convenient Python interface to the codePost API. Start scripting!

📝 A syntax-aware linter for prose built with speed and extensibility in mind.