Predict which pages are evergreen and can shown to users on StumbleUpon irrespective of Time

Project for Advanced Learning for Text and Graph Data - Peter Martigny & Mehdi Miah

Calculo de Term Frequency (TF) e Inverse Document Frecuency utilizando C#

Bachelor's project

Jobs data visualization and resume matching.

Data preparation and sentiment analysis using the dostoevsky library.

Using NLP to determine user review polarity on Amazon.

A natural language processing and machine learning project that predicts spam messages and explains how it does so

From the repository name we can infer it is a spam classification project. We build a model to predict whether sentence is "HAM" or "SPAM" using TFIDF vectorizer and bunch of models.

For any given query, an Information Retrieval (IR) system is used to obtain and rank relevant word documents from the data collection of interest. The most basic IR system uses Term Frequency Inverse Document Frequency (TF-IDF) to represent documents and queries as vectors, and then uses measures like cosine similarity to assess the relevance of…

Algorithms for Data Mining 2022 - Homework 3 - Group 7

This project focuses on text mining "The Big Bang Theory" scripts, covering 10 seasons. Participants preprocess character dialogues, analyzing sentence/word counts, noun/person name mentions, important words per episode/season, and word co-occurrence. (Part of Evaluation of Text Mining-KUL [G00C8a])

Language-Detection

TFIDF Optimization (Chinese)

Text summarizing tool made in Python3

社会信息检索工程