An interactive SMS Spam Detection application using Streamlit and machine learning. This app allows users to classify messages as spam or ham and view performance metrics for different models.
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Updated
Jul 16, 2024 - Python
An interactive SMS Spam Detection application using Streamlit and machine learning. This app allows users to classify messages as spam or ham and view performance metrics for different models.
Obsei is a low code AI powered automation tool. It can be used in various business flows like social listening, AI based alerting, brand image analysis, comparative study and more .
Textual analytics experiments to help extract value from unstructured text data
PostHog with text analytics extensions, serving as an advanced LLM analytics platform.
LLM Based NLP Library.
Exemplo de "Análise de Sentimentos" e "Extração de Frase-chave" usando IA do Azure Text Analytics com SDK para Python
Basic text analytics and natural language processing in Python
A Python package for Exploratory Data Analysis (EDA) for text-based data.
Este projeto é um script python para consumo da API Microsoft Azure AI Text Analytics, facilitando a análise de texto com recursos como análise de sentimento, reconhecimento de entidades e mais.
Analyze Text with Durable Functions and AI Language
Multiple and Large PDF Documents Text Extraction.
Python scripts to download, process, and analyze US Inaugural Addresses
This repository holds the deception model built in support of an academic research project and resulting manuscript that explored the effects of CEO deception on analyst ratings following a cognitive load inducing situation (in this case, quarterly earnings calls).
This is the unredactor where the program can predict the what would be the most likely names that were in the texts before they were redacted.
A Cuisine Predictor Python program using SVM classification model to predict the type of cuisine when given a list of ingredients.
A Python program using Natural Language Processing (NLP) to redact sensitive information from texts. The redactor model was trained to redact sensitive information including names, email addresses, particular concepts, addresses, gender, phone numbers, and dates.
This is a python project to extract daily incidents from police department's website and store the extracted text data in sql database.
Visualize offset-based annotations of text spans as SVG.
Библиотека для извлечения статистик из текстов на русском языке.
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