GitHub - Bordbonen/Leren-en-Beslissen: Social Media Project

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Name		Name	Last commit message	Last commit date
Latest commit History 140 Commits
Analyse Tools		Analyse Tools
PHP		PHP
notulen		notulen
report		report
Amstel.xlsx		Amstel.xlsx
Analysis.txt		Analysis.txt
Analysis_Amstel.txt		Analysis_Amstel.txt
Blauw Research Opdrachtbeschrijving Sentimentsanalyse UvA.pdf		Blauw Research Opdrachtbeschrijving Sentimentsanalyse UvA.pdf
Comments.txt		Comments.txt
Data Blauw Research EO UvA-1.xlsx		Data Blauw Research EO UvA-1.xlsx
DataAMSTEL.csv		DataAMSTEL.csv
DataCSV.csv		DataCSV.csv
LP.py		LP.py
README		README
ScatterPlot.pdf		ScatterPlot.pdf
bagOfWords.py		bagOfWords.py
dataAnalysis.py		dataAnalysis.py
extractor.py		extractor.py
logisticRegression.py		logisticRegression.py
main.py		main.py
main_ngram_only.py		main_ngram_only.py
maxEntNLTK.py		maxEntNLTK.py
naiveBayes.py		naiveBayes.py
naiveBayes2.py		naiveBayes2.py
naiveBayesNLTK.py		naiveBayesNLTK.py
neuralNetwork.py		neuralNetwork.py
ngramextractor.py		ngramextractor.py
old_approach_renewed.py		old_approach_renewed.py
perceptron.py		perceptron.py
sentimentAnalysis.py		sentimentAnalysis.py

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Machine Learning and Decision Making
Project: Sentiment Analysis

Supervisor: Ivo Langbroek

Group members:
Auke Wiggers
Camiel Verschoor
Duncan ten Velthuis
Sharon Gieske
Steven Laan

Description:

The goal of this assignment is the automatic sentiment analysis of several online messages, such as tweets, blog posts, etc.