This project uses word frequency and Term Frequency-Inverse Document Frequency to summarize a text.

Last update: Nov 16, 2021

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Overview

Text Summarizer

This project uses word frequency and Term Frequency-Inverse Document Frequency to summarize a text.

Team Members

This mini-project was developed for the partial fulfilment of the 4nd year, 7th semester of Bachelor of Technology in *Information Retrival : * by following students:-

Owner

GitHub Repository https://share.streamlit.io/descifrador/text-summarizer/main/app.py

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This project uses word frequency and Term Frequency-Inverse Document Frequency to summarize a text.

Related tags

Overview

Text Summarizer

Team Members

Owner

Client library to download and publish models and other files on the huggingface.co hub

Kinky furry assitant based on GPT2

Black for Python docstrings and reStructuredText (rst).

Trained T5 and T5-large model for creating keywords from text

Pipeline for fast building text classification TF-IDF + LogReg baselines.

✔👉A Centralized WebApp to Ensure Road Safety by checking on with the activities of the driver and activating label generator using NLP.

RIDE automatically creates the package and boilerplate OOP Python node scripts as per your needs

This repository structures data in title, summary, tags, sentiment given a fragment of a conversation

SimCSE: Simple Contrastive Learning of Sentence Embeddings

Smart discord chatbot integrated with Dialogflow

CVSS: A Massively Multilingual Speech-to-Speech Translation Corpus

The official code for “DocTr: Document Image Transformer for Geometric Unwarping and Illumination Correction”, ACM MM, Oral Paper, 2021.

Mkdocs + material + cool stuff

Proquabet - Convert your prose into proquints and then you essentially have Vogon poetry

Toward Model Interpretability in Medical NLP

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