Development of Method and Technology for Social Media-based Market Segment Trend Prediction

Abstract

Understanding the market segmentation selecting the target market providing products that fit the target market and applying appropriate marketing strategies are at the heart of current marketing strategies Traditionally companies have used the market research method to analyze the current market conditions In addition to the excessive manpower time and cost there are also problems such as the inability to timely and correctly reflect the current market conditions and trends With the advent of the digital era social media has become an important communication and information sharing tool for people and an important source of information for the analysis of the market At present the market-related research on social media is mainly based on the overall change of the target market There is a lack of analysis on the impact of market segmentation and the influence of market elements on market segmentation Therefore how to use social media data to predict the trend of market segmentation and change for enterprises to grasp market changes in time to enhance competitive advantage is an important research topic The main purpose of this study is to design a social media-based market segment trend forecasting method and develop its implementation technology The results show that the average error value of the influence-based segment trend prediction method of this study is 0 0936 which is about 3 7% lower than that of the 0 0971 method using the segmentation trend prediction method Therefore market segmentation trend prediction based on influence is feasible and effective

Date of Award	2019
Original language	English
Supervisor	Yuh-Min Chen (Supervisor)