Brijendra Gupta, Girish kulkarni, A.Rajesh Kumar, VS Padmini , S M Uma and Devika Rani Roy
Digital marketing is playing an increasingly important role in e-commerce, particularly in terms of sharing meaningful information about a product or service. Information extraction has emerged as the most important technique in digital marketing. The method of recommender systems in social sites while looking at the various types of argumentative documents, as well as the difficulties connected with a machine translation from social media, are addressed in this article. Using an image recognition tool, a K-means clustering algorithm has been used to a sample Twitter database to aggregate various attitudes in relationship with different product characteristics. The technique has been tested and described with the aid of the tool. Computing methods Cluster analysis Topics in Computer Science
English 
Spanish 
Chinese 
Russian 
German 
French 
Japanese 
Portuguese 
Hindi