Big Data Analytics and Deep Learning Based Sentiment Analysis System for Sales Prediction

被引：3

作者：

Khatiwada, Aamod ^{[1
]}

Kadariya, Pradeep ^{[1
]}

Agrahari, Sandip ^{[1
]}

Dhakal, Rabin ^{[2
]}

机构：

[1] Tribhuvan Univ, Inst Engn, Dept Elect & Comp Engn, Thapathali Campus, Kathmandu, Nepal

[2] Texas Tech Univ, Dept Mech Engn, Lubbock, TX 79409 USA

来源：

2019 IEEE PUNE SECTION INTERNATIONAL CONFERENCE (PUNECON) | 2019年

关键词：

Big Data; Deep Learning; Sentiment Analysis;

D O I：

10.1109/punecon46936.2019.9105719

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This research is the addition to the steps of making online business more user-friendly, interactive and output-oriented. The online marketing and sales of the products increase significantly if the opinion of the public for the product is analyzed intermittently. As the trend in today's date is that people update their response to the products faced by them in day-to-day life immediately in the social media, the developed system provides the platform for the large-scale producers to inspect how the consumers are responding to their products. The concept of Big Data Analysis is used for data collection, pre-processing and data analysis. A model is obtained by training the available Data using Deep Learning, which is used for the determination of sentiment values of the collected comments. Finally, the python libraries are used for the visualization of the results of Sentiment analysis and other obtained information.

引用

页数：6

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