System of Multipurpose Analysis of Russian-language Text Messages Based on IBM InfoSphere Streams

Student: Karnaukhov Mikhail

Educational Programme: Master

Final Grade: 8

Year of Graduation: 2014

The System of Multipurpose Analysis of Russian-language Text Messages Based on IBM InfoSphere Streams was developed. The system is used for categorization and sentiment analysis of reviews on products and services of Sberbank of Russia. The developed system has passed all delivery and acceptance tests and fits client needs and expectations. Comparative analysis of available tools and methods for text mining was conducted. For the given task the most appropriate methods and techniques of text mining were chosen. The Naive Bayes classifiers were trained to predict sentiment of review, product (ATM, mobile banking, Sberbank Online) and product characteristics (availability, speed, service quality) mentioned in it.Besides InfoSphere Streams Java operators, the third-party components were integrated as native operators: АОТ - tool for natural text processing and Weka - tool for statistical analysis. The choice of the third-party tools was based on researches and comparative analysis. The following precision was achieved: 82%, 80%, 77% for sentiment analysis, product and characteristic prediction respectively. The method of representation features as syntax connected tokens was proposed and the results of classification was improved by 5-7% in average.Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank method proposed by Stanford University was adapted to russian language. The advantages and disadvantages of the method was reviewed. Keywords: text mining, text mining tools, deep learning, text clustering, text categorization.<div> </div>

Full text (added June 5, 2014) (4.38 Kb)

Student Theses at HSE must be completed in accordance with the University Rules and regulations specified by each educational programme.

Summaries of all theses must be published and made freely available on the HSE website.

The full text of a thesis can be published in open access on the HSE website only if the authoring student (copyright holder) agrees, or, if the thesis was written by a team of students, if all the co-authors (copyright holders) agree. After a thesis is published on the HSE website, it obtains the status of an online publication.

Student theses are objects of copyright and their use is subject to limitations in accordance with the Russian Federation’s law on intellectual property.

In the event that a thesis is quoted or otherwise used, reference to the author’s name and the source of quotation is required.

Search all student theses