Development of Agro-tagger and Recommendation Generation Using Social Network for Agro-produce Marketing
Social Networks have undergone a dramatic growth in recent years. Such networks provide an extremely suitable space to share information between individuals and their neighbors in the social graph instantly. Social Networks provide a powerful reflection of 21st century and the interaction of the Internet generation. Social Networks made impact on production, processing, distribution and consumption.The web 2.0 era passed leaving behind great strength to the end users for uploading, sharing and consuming the information in form of multimedia and text contents. In this paper we propose a recommendation system based on social networking site Twitter by exploiting the contents in form of tweets. We used rule based Information Extraction techniques for generating marketing related recommendations for the farmers and send them by SMS on their mobile phone.
Keywordsinformation extraction social network GATE named entity recognition
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