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Not stated in source 2017 Needs review

Sentiment Analysis Using Machine Learning Techniques

Author
Abinash Tripathy
University
Not available
Country
Not available
Main specialisation
Natural Language Processing › Sentiment Analysis

Before buying a product, people usually go to various shops in the market, query about the product, cost, and warranty, and then finally buy the product based on the opinions they received on cost and quality of service. This process is time consuming and the…

Not stated in source 2017 Needs review

Sentiment analysis with machine learning

Author
Αικατερίνη Χριστοπούλου
University
Not available
Country
Greece
Main specialisation
Natural Language Processing › Sentiment Analysis

H συνεχόμενη ανάπτυξη του διαδικτύου δημιούργησε νέους τρόπους επικοινωνίας. Τα social media παράγουν ένα τεράστιο όγκο δεδομένων σε μορφή κειμένου, τα οποία παρέχουν πληροφορίες για τις απόψεις και τα συναισθήματα των χρηστών. Σκοπός της Εξόρυξης Δεδομένων (D…

Master 2017 Verified

Machine Learning Methods for Credit Risk Modelling

Author
Matěj Drábek
University
Not available
Country
Czech Republic
Main specialisation
Machine Learning › Predictive Analytics & Time Series

This master's thesis is divided into three parts. In the first part I described P2P lending, its characteristics, basic concepts and practical implications. I also compared P2P market in the Czech Republic, UK and USA. The second part consists of theoretical b…

Not stated in source 2017 Needs review Available

DOCUMENT CLASSIFICATION USING MACHINE LEARNING

Author
Ankit Basarkar
University
San Jose State University
Country
United States
Main specialisation
Machine Learning

To perform document classification algorithmically, documents need to be represented such that it is understandable to the machine learning classifier. The report discusses the different types of feature vectors through which document can be represented and la…

Not stated in source 2016 Needs review

Using machine learning for sentiment analysis of Slovene web commentaries

Author
Klemen Kadunc
University
Not available
Country
Not available
Main specialisation
Natural Language Processing › Sentiment Analysis

The purpose of this work is to develop a tool for sentiment analysis of user comments. Several machine learning classifiers were tested and multinomial naive Bayes turned out to be the best predictor. We tried several preprocessing techniques, especially those…