Information Retrieval Report
The presented report allows evaluating the information situation on the topic of the master's thesis. It serves as the main documentary evidence of the depth and completeness of information retrieval and also serves to document the current situation in the researched area.
The search was conducted using three search engines (Google, Yandex, Bing). The results are summarized in a table. A total of 10 queries related to the master's thesis were performed. These include two queries matching the title of the master's thesis in two languages, two queries with the supervisor's name, and six queries with keywords related to the master's thesis.
Below are two tables with search reports, separated by a two-month time period, as well as diagrams that allow comparing the main changes that occurred during this period.
Search Report as of September 30, 2023
In Russian
| Search Query | Yandex | Bing | |
|---|---|---|---|
| 1. Application of machine learning algorithms to determine
the tone of the text of reviews in online stores |
499061 | 361871 | 314160 |
| 2. Kolomoitseva Irina Aleksandrovna | 33 | 59 | 41 |
| 3. Analysis of the tonality of the text | 760717 | 430613 | 171632 |
| 4. Review analysis | 865359 | 758425 | 300928 |
| 5. Machine learning | 927649 | 457715 | 218423 |
In English
| Search Query | Yandex | Bing | |
|---|---|---|---|
| 1. Application of machine learning algorithms to determine
the tone of the text of reviews in online stores |
231695 | 163059 | 159176 |
| 2. Kolomoitseva Irina Aleksandrovna | 15 | 21 | 6 |
| 3. Analysis of the tonality of the text | 829694 | 504165 | 272760 |
| 4. Review analysis | 728235 | 545596 | 123301 |
| 5. Machine learning | 930497 | 678826 | 426176 |
Analysis of Results
Comparing the results of queries across different search engines, it can be concluded that Google performed the best in all cases. In all instances, a sufficient number of documents were found in multiple languages.
It's important to note that the Yandex search engine, despite finding a large number of pages, does not allow for the exact count of results. Therefore, approximate values provided by the search engine are included in the table for Yandex.
When comparing and analyzing the results in the search reports separated by two months, it should be noted that the number of pages found increased for all search queries. The percentage change for each query in each search engine is shown in the chart below.
The overall conclusion from the analysis of search query data over two months for three search engines (Google, Yandex, and Bing) can be summarized as follows:
Google has the largest share of search traffic: In most categories, Google leads in both Russian and English. This indicates the popularity of Google among users and widespread use of this search engine for information retrieval.
Yandex takes the second place: Yandex also has a noticeable presence in the statistics, especially in Russian. It usually surpasses Bing in all query categories.
Bing has the smallest market share: Bing has the fewest queries in all categories, both in Russian and English. This suggests limited usage of Bing among users.
Seasonal and geographical factors may influence the data: It's important to consider that search query statistics can change over time and depend on regional factors. Data can be influenced by seasonal factors, advertising campaigns, and other variables.
Google is the preferred choice for English queries: Google has a significant advantage in handling English queries compared to the other two search engines.
In summary, Google remains the leader among the considered search engines, but the choice between Google and others depends on the target audience and the language of the queries. Yandex has a stronger presence in Russian, while Bing has a smaller market share compared to both.