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datasets-liu-negative-opinion-words-enby stdlib-js
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datasets-liu-positive-opinion-words-enby stdlib-js
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Natural-Language-Processingby kaushikmupadhya
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Python Notebooks related to Natural Language Processing
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Some draft notebooks to test out PhoBert on text classification, as an excercise for the NLP course on Coursera, and to familiarize myself with transformers.
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Quora-Insincere-Questions-Classificationby GanjinZero
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In this repository, I have included a Notebook which contains the Implementation of LSA, LDA and LDIA in Semantic Analysis. I have presented all the Code Snippets with proper Documentation and I hope you will gain Insights about Semantic Analysis with LSA and LDIA.
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This repository houses the notebooks for the Natural Language Processing project for AI4All at University of Michigan, Summer 2020.
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Similar words visualization using gensim fasttext and sklearn tSNE
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Text-Data-Analysis-for-CoMeDiAnS--NLP-Projectby NishthaChaudhary
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License: No License (No License)Natural language processing (NLP) is an exciting branch of artificial intelligence (AI) that allows machines to break down and understand human language. I plan to walk through text pre-processing techniques, machine learning techniques and Python libraries for NLP. Text pre-processing techniques include tokenization, text normalization and data cleaning. Once in a standard format, various machine learning techniques can be applied to better understand the data. This includes using popular modeling techniques to classify emails as spam or not, or to score the sentiment of a tweet on Twitter. Newer, more complex techniques can also be used such as topic modeling, word embeddings or text generation with deep learning. We will walk through an example in Jupyter Notebook that goes through all of the steps of a text analysis project, using several NLP libraries in Python including NLTK, TextBlob, spaCy and gensim along with the standard machine learning libraries including pandas and scikit-learn.
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State-of-the-Unionby ritvik-iyer
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democratic-debate-july2019-nlpby StevenSuCa
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License: No License (No License)A list of notebooks where I am learning natural language processing by analyzing the Democratic Debates from July 2019. It is my first time learning the tools and methods of NLP.
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Classifying tweets from cities into Positive and Negative sentiment and determining happiness of that city.
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twitter-sentiment-analysisby evilpegasus
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pdr code
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openpecha-toolkitby OpenPecha-dev
🛠 Tools to create, edit and export texts and annotations
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moaby moalang
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HumanSpeechProcessingby sanghyunyi
Decoding auditory representation of brain using natural speech stimuli
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CurrencyConvertProjectby feoc10
Provides a dynamic currency conversion with Streamlit
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ngx-linkageby chilliness
基于angular 8.x『原生』仿iOS省市区三级联动、日期联动、时间联动、多级联动、自定义联动、angular联动组件
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osd-documentationby omnivector-solutions
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nenyaby albin-johansson
A small but powerful library for creating strong types, written in C++20.
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word2vec-rbby madcato
Ruby interface gem to use word2vec arithmetics.
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webpageby LCS2-IIITD
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rusty_dequeby bigyihsuan
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the-unix-programming-environmentby Icermli
The unix programming environment exercises
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JavaScriptby GarbyX
A pseudo-package with more eccentric coding.
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AI-Blog-Writterby manthan89-py
This project is used to generate a blog post using Natural Language processing, Hugging Face Transformers and GPT-2 Model.
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uloopby md5crypt
a minimalistic event loop framework for embedded C
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gnmatcherby gnames
gnmatcher provides fast stemming, fuzzy matching altorithms for matching scientific names
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CS107by sergeynikiforov
Solutions to Stanford's CS107 - Programming Paradigms (Spring 2008)
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Building-simple-OSby Devious-programmer
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CHIAby WengLab-InformaticsResearch
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Essay-Grading-IELTSby ADHIKSHA
Online Essay Grading system using Django Frwamework, NLP, NLTK, Keras and many more.
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kaiser_6989_2021by Nemantor
Kaiser 2021 programming repository
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chaiby ComedicChimera
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eventcorefby laituan245
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truth-finderby FatManWalking
research project for nlp/data science module
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datasets-liu-negative-opinion-words-enby stdlib-js
A list of negative opinion words.
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datasets-liu-positive-opinion-words-enby stdlib-js
A list of positive opinion words.
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gitlab_openvpnby gitlab-cookbooks
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openvpnby openvpn
Upstream OpenVPN 2.x source tree. This is one of several public git repositories which are intended to be kept in sync.
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Goby Retr0_System
Go is an open source programming language that makes it easy to build simple, reliable, and efficient software.
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rust-lightning-signerby lightning-signer
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Bezoarby iffyb
A Python 3 library for declaratively creating text adventure games, based on Bazel syntax. This may in
the future evolve to similarly eliminate the Python runtime. Then, maybe, compile to WASM
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WedgeScriptby WedgeScript
The official repository for the wedgescript interpreter
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GPT-J-hfby DOUDOU0314
GPT-jax based on the official huggingface library
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ccrby tamaroning
a toy C Compiler written in Rust
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Natural-Language-Processingby kaushikmupadhya
Python Notebooks related to Natural Language Processing
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text_cls_phobertby ncthuan
Some draft notebooks to test out PhoBert on text classification, as an excercise for the NLP course on Coursera, and to familiarize myself with transformers.
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Quora-Insincere-Questions-Classificationby GanjinZero
Detect toxic content to improve online conversations
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SemanticAnalysis__LDA..LDIAby ThinamXx
In this repository, I have included a Notebook which contains the Implementation of LSA, LDA and LDIA in Semantic Analysis. I have presented all the Code Snippets with proper Documentation and I hope you will gain Insights about Semantic Analysis with LSA and LDIA.
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AI4All2020-Michigan-NLPby alahnala
This repository houses the notebooks for the Natural Language Processing project for AI4All at University of Michigan, Summer 2020.
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similar-words-fasttext-tsneby jefrydco
Similar words visualization using gensim fasttext and sklearn tSNE
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Text-Data-Analysis-for-CoMeDiAnS--NLP-Projectby NishthaChaudhary
Natural language processing (NLP) is an exciting branch of artificial intelligence (AI) that allows machines to break down and understand human language. I plan to walk through text pre-processing techniques, machine learning techniques and Python libraries for NLP. Text pre-processing techniques include tokenization, text normalization and data cleaning. Once in a standard format, various machine learning techniques can be applied to better understand the data. This includes using popular modeling techniques to classify emails as spam or not, or to score the sentiment of a tweet on Twitter. Newer, more complex techniques can also be used such as topic modeling, word embeddings or text generation with deep learning. We will walk through an example in Jupyter Notebook that goes through all of the steps of a text analysis project, using several NLP libraries in Python including NLTK, TextBlob, spaCy and gensim along with the standard machine learning libraries including pandas and scikit-learn.
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State-of-the-Unionby ritvik-iyer
State of the Union Text Analysis
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natural-language-searchby o19s
Colaboratory notebooks for OSC's Natural Language Search training
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Python-NoteBooksby YEmreAk
Python çalışma kitapları
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democratic-debate-july2019-nlpby StevenSuCa
A list of notebooks where I am learning natural language processing by analyzing the Democratic Debates from July 2019. It is my first time learning the tools and methods of NLP.
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City-Sentiment-Detector-BERTby aj-naik
Classifying tweets from cities into Positive and Negative sentiment and determining happiness of that city.
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twitter-sentiment-analysisby evilpegasus
A linguistic analysis of the tweets of Donald Trump
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How-I-Learn-Pythonby ramlaxman
Possible Variations of same program by Mayur Patil
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ner_crfby steveneale
Jupyter Notebook describing named entity recognition (NER) using conditional random fields (CRFs), implemented using scikit-learn / sklearn-crfsuite.
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