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

Python Implementation of ``Modeling the Influence of Verb Aspect on the Activation of Typical Event Locations with BERT'' (Findings of ACL: ACL 2021)

Develop open-source Python Arabic NLP libraries that the Arab world will easily use in all Natural Language Processing applications

Rootski - Full codebase for rootski.io (without the data)

🤗🖼️ HuggingPics: Fine-tune Vision Transformers for anything using images found on the web.

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

LUKE -- Language Understanding with Knowledge-based Embeddings

German Text-To-Speech Engine using Tacotron and Griffin-Lim

Poetry PEP 517 Build Backend & Core Utilities

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DeeBERT: Dynamic Early Exiting for Accelerating BERT Inference

PyTorch Implementation of "Non-Autoregressive Neural Machine Translation"

Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding

Gpt2-WebAPI - The objective of this API is to provide the 3 best possible responses to sentences that the user would input via http GET request as a parameter

Simple Text-To-Speech Bot For Discord

Code for the paper: Sequence-to-Sequence Learning with Latent Neural Grammars

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