Information Extraction from Social Network for Agro-produce Marketing

Abstract

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. Most of the content on the web is in the form of unstructured text which can be structured using Information Extraction techniques. In this paper we have discussed marketing potential of social networking sites in Agro-produce marketing domain. The farmers can post about their produce information on social networking site like twitter. The merchants can show their interest for any product by posting a tweet. These tweets can be analyzed and suggestions can be generated for both farmers and merchants. A domain specific 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 modified for building the system. The core of the system is based on pattern action grammar rules.