V. M. Thakre

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Internet has provided us a much more convenient way to share information all over the world. Cyberspace also opened a new platform for criminal activities. With increased access to computers across the world, cybercrime is becoming a major challenge to law enforcement agencies. Cybercrime investigation process is in its infancy and there has been limited(More)
Millions of comments are available on forums, Facebook, Tweeter, YouTube etc. Proper analysis of these huge comments can lead to solve many social, economic, political, business related questions which otherwise are difficult to understand and analyse. Proposed system explores the statistical approach for sentiment analysis of product reviews using(More)
The conventional scene categorization methods ignore spatial information within a scene and are not able to discern categories that share similar subscenes but different in layout; or categories that are ambiguous by nature. To address this issue, in this paper a method is proposed to incorporate subscene attributes within global descriptions to improve(More)
Since the invention of computer researcher fraternity is trying to minimize the communication gap between the computer and a human. Since then continuous and consistent efforts are being made to develop Natural Language Interfaces to Databases (NLIDBs). A general user is not an expert in SQL, but knows general English or native language for computer(More)
Recently, there has been much interest in processing skyline queries for various applications that include decision making, personalized services, and search pruning. Skyline queries aim to prune a search space of large numbers of multidimensional data items to a small set of interesting items by eliminating items that are dominated by others. Skyline query(More)
With the growth of internet community, many different text-based documents are produced. This paper presents an overview of the emerging field of emotion detection from text and describes the current generation of detection methods of emotions from the text. Emotion recognition in text is just one of the several dimensions of the task of making the(More)
Sentiment Analysis provides much holistic and realistic approach for self-assessment of brands/products. Contributory work has been done on identifying the product features from reviews, but work on determining the scope and handling of contextual shifters like negations and valence shifters or diminishers or intensifiers is in infancy stage. Proposed work(More)
Cluster analysis divides data into meaningful or useful groups (clusters). If meaningful clusters are the goal, then the resulting clusters should capture the “natural” structure of the data. For example, cluster analysis has been used to group related documents for browsing, to find genes and proteins that have similar functionality, and to provide a(More)
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