#自然语言处理#A comprehensive reference for all topics related to Natural Language Processing
#自然语言处理#Projects and useful articles / links
#自然语言处理#Awesome list (courses, books, videos etc.) and implementation of Machine Learning Algorithms
#自然语言处理#Python library for feature selection for text features. It has filter method, genetic algorithm and TextFeatureSelectionEnsemble for improving text classification models. Helps improve your machine le...
#自然语言处理#This repo contains my work & The code base for this TensorFlow Developer specialization offered by deeplearning.AI
#自然语言处理#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 wiki...
#自然语言处理#An attempt to predict next day's stock price movements using sentiments in tweets with cashtags. Six different ML algorithms were deployed (LogReg, KNN, SVM etc.). Main libraries used: Pandas & Numpy
#计算机科学#:bowtie: SumBot Free Code - AI-Powered Message Summarization ChatBot
#自然语言处理#Ambiente de Desenvolvimento Integrado (ADI) contando com um explorador de arquivos, editor de código, compilador e outros.
#自然语言处理#Document based ChatGPT
BookGPTs: Revolutionizing Book Interactions with AI. Create GPTs for any e-book, making technology accessible for all to engage in rich, AI-powered book discussions. No technical expertise required – ...
#自然语言处理#Machine translation using the seq2seq model
This is a Flask backend that allows users to upload a PDF file and receive a simplified and humorous explanation of its contents using OpenAI's GPT-3 API. The application uses NLTK to split the PDF te...
#自然语言处理#This repository contains code for generating blog content using the LLama 2 language model. It integrates with Streamlit for easy user interaction. Simply input your blog topic, desired word count, an...
#自然语言处理#In this project our goal is to acheive the problem of converting audio data into textual data.
How to build a chatbot to parse conditional statements
#自然语言处理#This project was done as a part of my internship at Bennet University for in May-June 2020.
#自然语言处理#A prototype legal text search engine that uses a semantic search algorithm in order to find related keywords and sort the results by relevance.
#自然语言处理#WebScrapeSummarizer 🌐✍️: A web tool that fetches and summarizes content from any domain, offering insights in a compact CSV format.