A writer that can generate news after a game using live texts.
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Updated
Feb 13, 2019 - Python
A writer that can generate news after a game using live texts.
Using Spacy and NLTK module with Tf-Idf algorithm for text-summarisation. This code will give you the summary of inputted article. You can input text directly or from .txt file, .pdf file or from wikipedia url.
various ways to summarise text using the libraries available for Python: pyteaser, sumy, gensim, pytldr, XLNET, BERT, and GPT2.
Document based ChatGPT
文本摘要 + TextRank4 + docker
LongT5-based model pre-trained on a large amount of unlabeled Vietnamese news texts and fine-tuned with ViMS and VMDS collections
SumSimple is a FastAPI-based text summarization service using traditional, non-LLM algorithms like SumBasic, Luhn, Edmundson, LexRank, TextRank, and LSA.
Predictive Data Analysis & Text Summarization Using Machine Learning. ACM-VIT Recruitment Task Submission
Automated document merging and extractive summarization to take in a search query and provide a crisp version of the news article from over 5 reputed sources. Supported in various languages
Generates relevant prerequisites for the given Wikipedia page.
Sequence-to-Sequence Deep Learning approach to text summarization
Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks"
Customer Feedback and Sentiment Analysis
Automatic summarization is the process of shortening a text document with software, in order to create a summary with the major points of the original document. Technologies that can make a coherent summary take into account variables such as length, writing style and syntax.
Atomically Newspaper Scrapping Using Beautiful Soup. Only three Categories of news are scraped including national, international and latest. News Summarization, Text Classification, Sentimental Analysis, WordCloud and many more NLP stuff is included.
A domain specific chatbot powered by Hugging Face and Python.
Flask frontend for ML-Apps, a collection of text-summarization, caption-generation and cartoonization services.
FastAPI backend for ML-Apps, a collection of text-summarization, caption-generation and cartoonization services.
A Text summarizer application which summarizes the given para.
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