Predict which pages are evergreen and can shown to users on StumbleUpon irrespective of Time
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Updated
Nov 20, 2016 - Python
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
Bachelor's project
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
PROJECTS from Data Science and Analytics, MSc Program 2016-2017 | Hira Fatima
This python code will enable you to find unique classes within set of documents and use this to further predict the class of any new of documents.
Web miner for Hong Kong's JobsDB.com
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