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32.973
Y45
Yerassyl, K.
Sentiment analysis of Kaspi product reviews. [Текст] / K. Yerassyl // News of national academy of sciences of the republic of Kazakhstan. . - 2021. - №5. - P. 68-73
ББК 32.973
Рубрики: information Technology
Кл.слова (ненормированные):
sentiment analysis -- classification -- text analysis -- reviews -- data collection
Аннотация: Customer reviews are the key to the success functionality for the companies. A producer will gain the true result of his products from the customer feedback. What should the seller do to achieve good quality for his product? Just by looking at the stars and reading the usual text, the seller will not be able to improve their product well enough, because different people can understand the same text in different ways. That’s why, the seller can improve the wrong part of their product and make their product worse. Sentimental analysis can be applied here. He can make necessary changes to his product according to the feedback. However, it is common to see when most client may inadequately overestimate or underestimate the mark. To avoid the confusion, it is better to analyze the text. This paper focus on the sentiment feedback analysis and finding the relationship between reviews and ratings on the basis of data collected from ”Kaspi.kz” marketplace. These data streams are cleaned and analyzed and reviews is got through opinion mining. We used several algorithms to find the best one. The experiments have shown 92% accuracy in the sentimental analysis
Держатели документа:
WKU
Доп.точки доступа:
Akhmetov, I.
Jaxylykova, A.
Y45
Yerassyl, K.
Sentiment analysis of Kaspi product reviews. [Текст] / K. Yerassyl // News of national academy of sciences of the republic of Kazakhstan. . - 2021. - №5. - P. 68-73
Рубрики: information Technology
Кл.слова (ненормированные):
sentiment analysis -- classification -- text analysis -- reviews -- data collection
Аннотация: Customer reviews are the key to the success functionality for the companies. A producer will gain the true result of his products from the customer feedback. What should the seller do to achieve good quality for his product? Just by looking at the stars and reading the usual text, the seller will not be able to improve their product well enough, because different people can understand the same text in different ways. That’s why, the seller can improve the wrong part of their product and make their product worse. Sentimental analysis can be applied here. He can make necessary changes to his product according to the feedback. However, it is common to see when most client may inadequately overestimate or underestimate the mark. To avoid the confusion, it is better to analyze the text. This paper focus on the sentiment feedback analysis and finding the relationship between reviews and ratings on the basis of data collected from ”Kaspi.kz” marketplace. These data streams are cleaned and analyzed and reviews is got through opinion mining. We used several algorithms to find the best one. The experiments have shown 92% accuracy in the sentimental analysis
Держатели документа:
WKU
Доп.точки доступа:
Akhmetov, I.
Jaxylykova, A.
Page 1, Results: 1