Naveed Anwer

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Opinion Mining is a promising discipline, defined as an intersection of information retrieval and computational linguistic techniques to deal with the opinions expressed in a document. The field aims at solving the problems related to opinions about products, Politian in newsgroup posts, review sites, comments on Facebook posts and twitter etc. This paper(More)
Nowadays, a large number of websites allow users to post reviews about products they bought. There are thousands of reviews of customers related to one product. So it is difficult for the manufacturers and also for the customers to have an idea about the product from these large reviews. In this paper we aim to summarize the customer reviews in factual form(More)
In India the socio-economic development of different states is spatially heterogeneous. The states can be broadly classified into three categories viz; developed, developing and underdeveloped. The development status of states falling under any one category is influenced by its socio-economic parameters. The earlier studies on regional development have(More)
In the current scenario, at the crossroad of computational linguistics and data retrieval opinions and emotions are more valuable than the subject of the document. Linguistic resources are used to retrieve sentiments and also to classify it. Over the internet, not only the large volume of unstructured data is available but also the large amount of text is(More)
We can think of two types of simulation models: Demonstration models, essentially existence proofs for phenomena of interest, and Descriptive models, that attempt to track dynamic historical phenomena. Both types require verification. Descriptive models require validation against historical data as well. Model validation is an attempt to assure the reader(More)
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