Topic: naturallanguageprocessing Goto Github
Some thing interesting about naturallanguageprocessing
Some thing interesting about naturallanguageprocessing
naturallanguageprocessing,Projects I completed to become aware of the current Deep Learning practices and techniques being carried out in the field
User: ajwadjaved
naturallanguageprocessing,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, and writing style to generate engaging blog content.
User: akashkobal
Home Page: https://theakash.co.in
naturallanguageprocessing,This project provides a simple script for determining the sentiment of a text input using TextBlob library in Python. It also returns the most positive and most negative sentence in the input text. The script can be used as a standalone tool or integrated into other projects.
User: amirtyper
Home Page: https://amirtyper.ir/
naturallanguageprocessing,"Detect sarcasm effortlessly! This Python app uses NLP and ML to analyze text sentiment, distinguishing sarcastic tones. With a user-friendly interface, input any text for real-time sarcasm identification. Achieve accurate results through advanced sentiment analysis techniques and trained models."
User: ansarthescientist
naturallanguageprocessing,
User: arun2212
naturallanguageprocessing,In this project our goal is to acheive the problem of converting audio data into textual data.
User: ashishkumar-hub
naturallanguageprocessing,Using Gensim and SpaCy models for topic modeling in the news, and experimenting with LTSMs and GRUs to explore features such as writing style and sentiment per news category
User: audreyle
naturallanguageprocessing,NLP Updates list of Experiences, Resources & Best Practices.
User: balidataman
naturallanguageprocessing,A software designed to read messages to make it convenient for people to go through big messages and understand them easily in an efficient manner.
User: chintanvijan
naturallanguageprocessing,Training Word2Vec models in Java and Python 3
Organization: cirice
naturallanguageprocessing,Sentiment Analysis on Twitter Data . Classifying them based on polarity into positive, negative and neutral Using Classical Machine Learning methods.
User: dharineesh-karthikeyan
naturallanguageprocessing,Sentiment Analysis of Tweets for a renowned shoe brand
User: dixitamol
naturallanguageprocessing,Natural Language Processing
User: dxv2k
naturallanguageprocessing,Ambiente de Desenvolvimento Integrado (ADI) contando com um explorador de arquivos, editor de cรณdigo, compilador e outros.
User: elenderg
Home Page: https://portugues-puro.gitbook.io/documentacao/
naturallanguageprocessing,Awesome list (courses, books, videos etc.) and implementation of Machine Learning Algorithms
User: elizalo
Home Page: https://elizalo.github.io/Machine-Learning/
naturallanguageprocessing,Projects and useful articles / links
User: elizalo
naturallanguageprocessing,The Harmony project
Organization: harmonydata
Home Page: https://harmonydata.org/
naturallanguageprocessing,How to build a chatbot to parse conditional statements
User: hsm207
naturallanguageprocessing,A comprehensive reference for all topics related to Natural Language Processing
User: ivan-bilan
naturallanguageprocessing,Machine translation using the seq2seq model
User: jackfrost1411
naturallanguageprocessing,a repo for everyday Natural Language Processing in Python
User: jundland
naturallanguageprocessing,A project consisting of analysis of sarcasm in text using Natural Language Processing techniques. It highlights the importance of context and punctuation in sarcasm detection. Different deep learning models are applied and compared to get the best accuracy in sarcasm detection.
User: kitturpriya
naturallanguageprocessing,A prototype legal text search engine that uses a semantic search algorithm in order to find related keywords and sort the results by relevance.
Organization: levitation-opensource
Home Page: http://www.deeplaw.ai
naturallanguageprocessing,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 wikipedia url.
User: lunaticprakash
naturallanguageprocessing,Document based ChatGPT
User: muratali016
naturallanguageprocessing,DeveloperReactionToAPIChanges, TUM master application project
User: mzkaramat
naturallanguageprocessing,This project provides a comprehensive analysis of tweet sentiment during the COVID-19 pandemic using Natural Language Processing (NLP) techniques. The dataset is classified into five sentiment classes, and thorough data exploration and preprocessing techniques are applied to handle imbalances. ML & DL models utilised.
User: namratabhatia21
Home Page: https://www.kaggle.com/datasets/datatattle/covid-19-nlp-text-classification
naturallanguageprocessing,
Organization: nlp-neural-network
naturallanguageprocessing,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
User: north0n-fi
naturallanguageprocessing,Applications of Embeddings, Machine Translation and Spam Text Classification.
User: onurboyar
naturallanguageprocessing,A basic chatterbox Titu who talks about Analytics.
User: poonam-glitch
naturallanguageprocessing,python class for literature training from biomedical literature. It reads the text from the pdf and then implements the tokens and then uses the BERT model to train the model
User: sablokgaurav
naturallanguageprocessing,Various experiments in parsing and natural language processing in the Forth language for the Apple II
User: savetz
naturallanguageprocessing,Experience simple Text-to-Speech (TTS) functionality using pyttsx3 module, compatible with various speech engines like NSSpeechSynthesizer, SAPI5, and eSpeak.
User: shashankatthaluri
naturallanguageprocessing,This project was done as a part of my internship at Bennet University for in May-June 2020.
User: shatakshisingh24
naturallanguageprocessing,
User: srivatsank1
naturallanguageprocessing,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 learning models
User: statguyuser
naturallanguageprocessing,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 text into smaller chunks to stay within the API's maximum token limit, and PyPDF2 to extract the text from the PDF file.
User: sumitra19jha
naturallanguageprocessing,Work area for NLP concepts
User: techhound
naturallanguageprocessing,:runner: :cyclone: A 50 day of Machine Learning Sprint to cover all state of the art problems from various domains
User: theainerd
naturallanguageprocessing,This repo contains my work & The code base for this TensorFlow Developer specialization offered by deeplearning.AI
User: thekidpadra
Home Page: https://www.deeplearning.ai/courses/tensorflow-developer-professional-certificate/
naturallanguageprocessing,School assignment for text analytics
User: tuanpham1994
naturallanguageprocessing,A sentiment analysis in Hebrew based on HeBert (https://github.com/avichaychriqui/HeBERT) of WhatsApp groups!
User: yaniv92648
naturallanguageprocessing,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 โ upload a document and bring your favorite books to conversational life!
User: yuanyuanyuan
Home Page: https://book-gpts.com
naturallanguageprocessing,WebScrapeSummarizer ๐โ๏ธ: A web tool that fetches and summarizes content from any domain, offering insights in a compact CSV format.
User: zeeshanahmad4
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Data-Driven Documents codes.
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