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

Winner system (DAMO-NLP) of SemEval 2022 MultiCoNER shared task over 10 out of 13 tracks.

Twitter-Sentiment-Analysis - Twitter sentiment analysis for india's top online retailers(2019 to 2022)

Generate product descriptions, blogs, ads and more using GPT architecture with a single request to TextCortex API a.k.a Hemingwai

Longformer: The Long-Document Transformer

The (extremely) naive sentiment classification function based on NBSVM trained on wisesight_sentiment

LSTC: Boosting Atomic Action Detection with Long-Short-Term Context

Subtitle Workshop (subshop): tools to download and synchronize subtitles

Torchrecipes provides a set of reproduci-able, re-usable, ready-to-run RECIPES for training different types of models, across multiple domains, on PyTorch Lightning.

Code for Findings of ACL 2022 Paper "Sentiment Word Aware Multimodal Refinement for Multimodal Sentiment Analysis with ASR Errors"

Tensorflow implementation of paper: Learning to Diagnose with LSTM Recurrent Neural Networks.

Recognition of 38 speech commands in russian. Based on Yandex Cup 2021 ML Challenge: ASR

基于“Seq2Seq+前缀树”的知识图谱问答

Include MelGAN, HifiGAN and Multiband-HifiGAN, maybe NHV in the future.

The projects lets you extract glossary words and their definitions from a given piece of text automatically using NLP techniques

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