Data Analysis of Popular Search Queries

Student: Sokolov Vyacheslav

Educational Programme: Business Informatics (Bachelor)

Year of Graduation: 2021

Google Trends is the ultimate tool to gather data from huge cohorts of people worldwide. The main goal of this project is to build an automated algorithm to gather and analyse behavioural patterns. Each search query represents a topic that occurred in people's minds. Analysing these queries may signal what do people currently worry about most. Insights found from data can be used to signal or predict markets. Narrowing the scope of keywords allows finding the right time for the growing trend. This can be used as a marketing hacking tool. Early found the trend of growing popularity on a special topic can be very useful for marketing purposes. This project shows how to build an automated system of collecting real-world data about the most popular topics in the world nowadays.

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