Automatic Speech Recognition using Conformer with Speech Sentiment Analysis & Text Summarizer
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Updated
Oct 6, 2024 - Python
Automatic Speech Recognition using Conformer with Speech Sentiment Analysis & Text Summarizer
Text Summarizer: Conquer information overload with this smart app that distills key points from lengthy texts and PDFs.
Text Summarizer: A simple Python project that uses Natural Language Processing (NLP) techniques to summarize long text articles. The project employs NLTK for text processing and Streamlit for an interactive user interface, allowing users to input text and receive concise summaries.
A text and document summarizer made in python with the txtai library and hosted on Streamlit.
Flask-based API that provides a user-friendly interface to summarize text in any language supported by the BART model and then translate it to English.
Pdf, Doc, Text file and email threads summarizer using genai api and streamlit in the frontend
The project specializes in Text Summarization using NLP's extractive approach, preserving key information for concise summaries. Customize length, handle various formats, and enjoy a user-friendly interface. Applications include content aggregation, document skimming, and data analysis. Hop in to simplify information consumption! 🚀
Python script for text summarization using the T5 model.
In this project, we propose to implement a web application that can summarize a text or a Wikipedia link. We have additionally been given an opportunity to compare different methods of summarization.
this is an application for summarising text
Click the link below to checkout the website of this project
Python package for extractive text summarization using centroid distance
If you are too lazy to read the whole document then generate wordart and keywords.
A simple implementation and UI of Summary Transformer models. Specifically The pszemraj/led-large-book-summary
Advanced methods to implement automatic text summarization
Advanced methods to implement automatic text summarization
The text summarizer is a project in which we make a deep neural network using natural language processing. The idea is to take some paragraphs of text and build their summary. It is very helpful to get a summary of the article.
A repos for USTH SE 2020 Group 1 project. It's quite obvious in the title.
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