Agro-produce marketing: development of agro-tagger and suggestion generation system

Abstract

The growing use of internet has developed interest in the eld of Information Extraction. Most of the documents on internet are unstructured text that can be structure dusing information extraction techniques. Social Networking sites play a prominent role in the life of people by providing a platform, that allows users to share ideas, activities, events, and interests. Social networking sites have a great marketing potential that can be exploited in Agro-produce marketing domain. The farmers and merchants can post about their interests. These tweets are be analyzed and suggestions can be generated for both farmers and merchants. A domain specic information extraction system is developed for Agro-produce marketing domain for extracting entities crop name, variety, price, quantity, location and deadline from the web. The text engineering framework - General Architecture for Text Engineering (GATE) provides ANNIE, an information extraction plug-in, which is extended and modied for building the system. The core of the system is based on pattern action grammar rules. The Agrotagger identies the entities related to agro-produce marketing from a given document and tag them.