Lda Topic ModelingA PureScript, browser-based implementation of LDA topic modeling.
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Gsoc2018 3gm💫 Automated codification of Greek Legislation with NLP
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GraphbrainLanguage, Knowledge, Cognition
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ScattertextBeautiful visualizations of how language differs among document types.
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Nlp In PracticeStarter code to solve real world text data problems. Includes: Gensim Word2Vec, phrase embeddings, Text Classification with Logistic Regression, word count with pyspark, simple text preprocessing, pre-trained embeddings and more.
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Spark NkpNatural Korean Processor for Apache Spark
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UdpipeR package for Tokenization, Parts of Speech Tagging, Lemmatization and Dependency Parsing Based on the UDPipe Natural Language Processing Toolkit
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Text2vecFast vectorization, topic modeling, distances and GloVe word embeddings in R.
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NlpythonThis repository contains the code related to Natural Language Processing using python scripting language. All the codes are related to my book entitled "Python Natural Language Processing"
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Nlp NotebooksA collection of notebooks for Natural Language Processing from NLP Town
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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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ChemdataextractorAutomatically extract chemical information from scientific documents
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Hands On Natural Language Processing With PythonThis repository is for my students of Udemy. You can find all lecture codes along with mentioned files for reading in here. So, feel free to clone it and if you have any problem just raise a question.
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Textractextract text from any document. no muss. no fuss.
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Pyss3A Python package implementing a new machine learning model for text classification with visualization tools for Explainable AI
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TidytextText mining using tidy tools ✨📄✨
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Text mining resourcesResources for learning about Text Mining and Natural Language Processing
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LazynlpLibrary to scrape and clean web pages to create massive datasets.
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Nlp profilerA simple NLP library allows profiling datasets with one or more text columns. When given a dataset and a column name containing text data, NLP Profiler will return either high-level insights or low-level/granular statistical information about the text in that column.
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Metasra PipelineMetaSRA: normalized sample-specific metadata for the Sequence Read Archive
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Cogcomp NlpyCogComp's light-weight Python NLP annotators
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QdapQuantitative Discourse Analysis Package: Bridging the gap between qualitative data and quantitative analysis
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ChineseblueChinese Biomedical Language Understanding Evaluation benchmark (ChineseBLUE)
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GooglelanguagerR client for the Google Translation API, Google Cloud Natural Language API and Google Cloud Speech API
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Crf Layer On The Top Of BilstmThe CRF Layer was implemented by using Chainer 2.0. Please see more details here: https://createmomo.github.io/2017/09/12/CRF_Layer_on_the_Top_of_BiLSTM_1/
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Nl2sql阿里天池首届中文NL2SQL挑战赛top6
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PythonrougePython wrapper for evaluating summarization quality by ROUGE package
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Finnlp ProgressNLP progress in Fintech. A repository to track the progress in Natural Language Processing (NLP) related to the domain of Finance, including the datasets, papers, and current state-of-the-art results for the most popular tasks.
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Awesome Nlp ResourcesThis repository contains landmark research papers in Natural Language Processing that came out in this century.
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Holiday Cn📅🇨🇳 中国法定节假日数据 自动每日抓取国务院公告
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Spacymoji💙 Emoji handling and meta data for spaCy with custom extension attributes
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AbsapapersWorth-reading papers and related awesome resources on aspect-based sentiment analysis (ABSA). 值得一读的方面级情感分析论文与相关资源集合
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Multihead Siamese NetsImplementation of Siamese Neural Networks built upon multihead attention mechanism for text semantic similarity task.
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Spacy Course👩🏫 Advanced NLP with spaCy: A free online course
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Monkeylearn PythonOfficial Python client for the MonkeyLearn API. Build and consume machine learning models for language processing from your Python apps.
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NeusumCode for the ACL 2018 paper "Neural Document Summarization by Jointly Learning to Score and Select Sentences"
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SwiftychronoA natural language date parser in Swift (ported from chrono.js)
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Tod BertPre-Trained Models for ToD-BERT
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Stanza OldStanford NLP group's shared Python tools.
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Paper Survey📚Survey of previous research and related works on machine learning (especially Deep Learning) in Japanese
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SlingSLING - A natural language frame semantics parser
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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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PycantoneseCantonese Linguistics and NLP in 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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NegapojiJapanese negative positive classification.日本語文書のネガポジを判定。
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QbQANTA Quiz Bowl AI
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Textfeatures👷♂️ A simple package for extracting useful features from character objects 👷♀️
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