Abstract: The present disclosure describes a method of sentiment oriented slang for opinion mining. With increasing use of internet, many users can submit their review comments directly to the companies which can be automatically processed and summarized with critical issues from time to time and help the company get real time feedback from its customers. The method comprises, receiving at least one document comprising a plurality of sentiment oriented slang. The next step of the method comprises identifying the plurality of sentiment oriented slang in the at least one document. Further, a polarity score of each of a slang word identified is determined and sentiment information is displayed on an output device as an output.

Abstract: A method, non-transitory computer readable medium, and apparatus for discovering and analyzing a network topology includes obtaining information regarding a network including a relationship of a plurality of nodes of the network. At least one value for each of a plurality of centrality parameters is determined for each of the plurality of nodes. At least one topology score for each of the plurality of nodes is generated based on one or more of the centrality parameter values. One or more relatively significant nodes are identified based on one or more of the topology scores and output.

Abstract: A system and method for developing a rule-based named entity extraction system is provided. The method includes analyzing requirements of business users. The method further includes designing the rule-based named entity extraction system based on the requirement analysis. Further, the method includes implementing the design of rule-based named entity extraction system using one or more GUI-based tools. Thereafter, regression testing of the rule-based named entity extraction system is conducted. Finally, rule-based named entity extraction system is deployed.

Abstract: A method, non-transitory computer readable medium, and apparatus for discovering and analyzing a network topology includes obtaining information regarding a network including a relationship of a plurality of nodes of the network. At least one value for each of a plurality of centrality parameters is determined for each of the plurality of nodes. At least one topology score for each of the plurality of nodes is generated based on one or more of the centrality parameter values. One or more relatively significant nodes are identified based on one or more of the topology scores and output.

Abstract: The present disclosure describes a method of sentiment oriented slang for opinion mining. With increasing use of internet, many users can submit their review comments directly to the companies which can be automatically processed and summarized with critical issues from time to time and help the company get real time feedback from its customers. The method comprises, receiving at least one document comprising a plurality of sentiment oriented slang. The next step of the method comprises identifying the plurality of sentiment oriented slang in the at least one document. Further, a polarity score of each of a slang word identified is determined and sentiment information is displayed on an output device as an output.

Abstract: A system and method for developing a rule-based named entity extraction system is provided. The method includes analyzing requirements of business users. The method further includes designing the rule-based named entity extraction system based on the requirement analysis. Further, the method includes implementing the design of rule-based named entity extraction system using one or more GUI-based tools. Thereafter, regression testing of the rule-based named entity extraction system is conducted. Finally, rule-based named entity extraction system is deployed.