Set of vectorizers that extract keyphrases with part-of-speech patterns from a collection of text documents and convert them into a document-keyphrase matrix.

A sentiment analysis classifier for short texts in Python

Repository for the lectures taught in the course named "Natural Language Processing" at the University of Guilan, Department of Computer Engineering.

A support vector machine based topic classifier for Nepali text

(1) Train large language models to help people with automatic essay scoring. (2) Extract essay features and train new tokenizer to build tree models for score prediction.

To find the top 20 features for a set of documents given.

Pandas dataframe easy inspection, filtering, transformation: Get label distribution metrics, visualize multilabel columns through Chord diagram, filter label occurring less than a threshold, one-liner text/monolabel/multilabel columns vectorization, and many more to come.

Convert raster image to SVG, create icons and icon sheets.

This is a Python-based spam detection system that uses machine learning to classify messages as spam or not spam (ham). The system connects to a MySQL database for training data, uses TF-IDF vectorization for text processing, and employs logistic regression for classification.

Using Natural Language Processing (NLP) and pandas, numpy, scikit-learn for classification and applying logistic regression as it is a supervised model, lastly NLTK. Pickle library used for saving and running the model anywhere.

memprediksi kalimat positif atau negatif dan mengatur bobot tf-idf dengan model MultinomialNB

This repo contains code on study of a covid long-hauler group

The flask api for the pro-grepper. It preprocess the problem statement, fit the vectorizer and predict on the model (label powerset with random forest). It returns JSON object in response.

This repo contains the movie recommender system which uses vectorization, cosine similarity distance methods to calculate the most similar content based on movie tags/info.

This is a golden path (opinionated shortcut) to explore AI from local homelab to PROD using OSS for technological independence and local LLM for privacy. We explore concepts like AI agents, RAG and LLM using OSS technologies like Linux, Opentofu, microk8s, DAPR, Ollama, TimescaleDB & pgai Vectorizer, Flask and Python.