GitsuggestA tool to suggest github repositories based on the repositories you have shown interest in.
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summarize-webpageA small NLP SAAS project that summarize a webpage
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Text Analytics With PythonLearn 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.
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Rake NltkPython implementation of the Rapid Automatic Keyword Extraction algorithm using NLTK.
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nlp-akashNatural Language Processing notes and implementations.
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NltkNLTK Source
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billboard🎤 Lyrics/associated NLP data for Billboard's Top 100, 1950-2015.
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Ryuzaki botSimple chatbot in Python using NLTK and scikit-learn
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ipython-notebook-nltkAn introduction to Natural Language processing using NLTK with python.
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Practical Machine Learning With PythonMaster 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.
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WatcherWatcher - Open Source Cybersecurity Threat Hunting Platform. Developed with Django & React JS.
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Orange3 Text🍊 📄 Text Mining add-on for Orange3
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curso-IRIIntrodução à Recuperação de Informações
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ru punktRussian language support for NLTK's PunktSentenceTokenizer
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Tensorflow Ml Nlp텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)
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character-extractionExtracts character names from a text file and performs analysis of text sentences containing the names.
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TextblobSimple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.
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NRCLexAn affect generator based on TextBlob and the NRC affect lexicon. Note that lexicon license is for research purposes only.
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Proctoring AiCreating a software for automatic monitoring in online proctoring
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WikiquizGenerates a quiz for a Wikipedia page using parts of speech and text chunking.
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Ai Chatbot FrameworkA python chatbot framework with Natural Language Understanding and Artificial Intelligence.
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CltkThe Classical Language Toolkit
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Punkt SegmenterRuby port of the NLTK Punkt sentence segmentation algorithm
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resume tailorAn unsupervised analysis combining topic modeling and clustering to preserve an individuals work history and credentials while tailoring their resume towards a new career field
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Text ClassificationMachine Learning and NLP: Text Classification using python, scikit-learn and NLTK
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Python nlp tutorialThis repository provides everything to get started with Python for Text Mining / Natural Language Processing (NLP)
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tweets-preprocessorRepo containing the Twitter preprocessor module, developed by the AUTH OSWinds team
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udacity-cvnd-projectsMy solutions to the projects assigned for the Udacity Computer Vision Nanodegree
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Product-Categorization-NLPMulti-Class Text Classification for products based on their description with Machine Learning algorithms and Neural Networks (MLP, CNN, Distilbert).
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Nlp Py 2e Zh📖 [译] Python 自然语言处理 中文第二版
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Nltk Book ResourceNotes and solutions to complement the official NLTK book
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Stock-Analyser📈 Stocks technical analysis code collection and Stocks data platform.
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youtube-video-maker📹 A tool for automatic video creation and uploading on YouTube
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StocksightStock market analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis
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Deception-Detection-on-Amazon-reviews-datasetA SVM model that classifies the reviews as real or fake. Used both the review text and the additional features contained in the data set to build a model that predicted with over 85% accuracy without using any deep learning techniques.
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namebotA company/project name generator for Python. Uses NLTK and diverse techniques derived from existing corporate etymologies and naming agencies for sophisticated word generation and ideation.
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pygramsExtracts key terminology (n-grams) from any large collection of documents (>1000) and forecasts emergence
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Speech signal processing and classificationFront-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].
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PygermanetGermaNet API for Python
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