NLP-Extractive-NEWS-summarization-using-MMR
A simple python implementation of the Maximal Marginal Relevance (MMR) baseline system for text summarization.
How to download and setup NLP-Extractive-NEWS-summarization-using-MMR
Open terminal and run command
git clone https://github.com/vishnu45/NLP-Extractive-NEWS-summarization-using-MMR.git
git clone is used to create a copy or clone of NLP-Extractive-NEWS-summarization-using-MMR repositories.
You pass git clone a repository URL. it supports a few different network protocols and corresponding URL formats.
Also you may download zip file with NLP-Extractive-NEWS-summarization-using-MMR https://github.com/vishnu45/NLP-Extractive-NEWS-summarization-using-MMR/archive/master.zip
Or simply clone NLP-Extractive-NEWS-summarization-using-MMR with SSH
[email protected]:vishnu45/NLP-Extractive-NEWS-summarization-using-MMR.git
If you have some problems with NLP-Extractive-NEWS-summarization-using-MMR
You may open issue on NLP-Extractive-NEWS-summarization-using-MMR support forum (system) here: https://github.com/vishnu45/NLP-Extractive-NEWS-summarization-using-MMR/issuesSimilar to NLP-Extractive-NEWS-summarization-using-MMR repositories
Here you may see NLP-Extractive-NEWS-summarization-using-MMR alternatives and analogs
natural-language-processing lectures spaCy HanLP gensim MatchZoo tensorflow-nlp Awesome-pytorch-list spacy-models Repo-2017 stanford-tensorflow-tutorials awesome-nlp nlp_tasks nltk pattern TextBlob CoreNLP allennlp mycroft-core practical-pytorch textract languagetool MITIE machine_learning_examples prose arXivTimes ltp libpostal sling DeepNLP-models-Pytorch