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natural-language-preprocessing

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Shuyib / tool_calling_api

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This project demonstrates function-calling with Python and Ollama, utilizing the Africa's Talking API to send airtime and messages to phone numbers using natural language prompts. Ollama + LLM w/ functions + Natural language = User Interface for non-coders.

python api demo automation communication makefile messaging user-interface gradio africastalking-api non-coders artificial-inteligence llms function-calling ollama natural-language-preprocessing airtime-delivery-service mistral-7b-instruct llama3 qwen2-5
  • Updated Nov 14, 2024
  • Python

Asifdotexe / Natural-LangWiz

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Natural LangWiz is a repository for exploring Natural Language Processing (NLP) techniques through Jupyter notebooks. It covers everything from text preprocessing and sentiment analysis to advanced transformer models. Dive in to see how we turn raw text into actionable insights with a touch of NLP wizardry!

python machine-learning translation sentiment-analysis text-analysis text-generation data-visualization wordcloud web-scraping named-entity-recognition text-summarization topic-modeling vectorization spam-detection grammar-checker api-integration emojification transformer-models data-preprocessing-and-cleaning natural-language-preprocessing
  • Updated Oct 10, 2024
  • Jupyter Notebook

20101301-Alina-Hasan / Robust-Fake-Review-Detection-using-Uncertainty-Aware-LSTM-and-BERT

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Our study utilizes BERT and LSTM models alongside Monte Carlo Dropout (MCD) on the Yelp Labelled Dataset. MCD bolsters robustness by introducing uncertainty through neuron dropout. The BERT-embedded MCD achieves an impressive 91.75% accuracy, surpassing the LSTM model.

neural-network artificial-intelligence lstm language-model bert yelp-dataset long-short-term-memory pretrained-language-model fake-review-detection natural-language-preprocessing
  • Updated Feb 27, 2024

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