Research On Evaluation Method Of Industry Image Based On Social Media Texts

At present,the evaluation of the industrial image is significant for industrial policy makers and research scholars.Most of these evaluations are descriptive evaluation and lack of data support,so there are limitations in the evaluation.In addition,the social media texts contain a lot of valuable information,which can contribute to the evaluation of the industrial image.Therefore,this essay proposed a set of method which aims to evaluate the industrial image based on social media texts.Firstly,this essay presents a set of method for constructing an industrial image index system which can be applied to a variety of industries through social media texts.The method consists of four steps: mining basic indicator elements from social media texts;clustering basic indicator elements to generate the first-and second-level indicators;empowering first-and second-level indicators;forming an industrial image index system which can be applied to a variety of industries.Secondly,this essay presents a set of method for evaluating the industrial image by applying industrial image index system through social media texts based on the public perspective.The method consists of four steps: mining emotional words in social media texts;classifying emotional sentiment intensity levels of emotional words;assigning intensity values to emotional intensity levels;calculating the overall industrial image index based on the public perspective.The method can extract the information related to the evaluation from the social media texts,can enrich the methodology of industrial image evaluation and the methodology of social media mining,and can also assist government departments to formulate industrial policies.