transPUB for Web solution is a juxtaposition of the following components - Topic and Information Profiling, Automated Metadata Creation, Visual and Topic-based Crawling and Automated Deep Data and Information Extraction.
Many articles , blogs, pages, documents are created/ modified by content creators across the web on several subjects/topics. transPUB specifically curates content in an automated manner and serves up content to consumers that is relevant only to them, that they care about or follow. It automatically mines the web to facilitate analysis of web data relevant to a topic of interest as well as to identify (or predict) relationships between topics

transPUB has the ability to automatically crawl the web and generate relevant content in a proactive and predictive manner.
transPUB can analyze web pages/documents and provide back metadata regarding that document in a structured XML or JSON document.
transPUB is capable of crawling the http links to the relevant document, analyzing the document and provide major body areas. It can also extract out major images , provide dimensions of each image, extract out major videos and provide author/columnist, source name, time published, leading and secondary entities and identify comments. It can also navigate any hyperlinks in the main body area and provide type - tweet, news article. It is able to identify cross-connections between Information Units by inferring relative contexts.