Delhi Technological University

About: Delhi Technological University is a education organization based out in New Delhi, India. It is known for research contribution in the topics: Computer science & Control theory. The organization has 4427 authors who have published 6761 publications receiving 71035 citations. The organization is also known as: Delhi College of Engineering & DTU.

New grounded simulated inductance circuit using a single PFTFN

Abstract: A new single-PFTFN based lossless grounded inductance simulation circuit has been presented. The proposed circuit employs a single PFTFN along with four resistors and a single capacitor and realises a lossless grounded inductance subject to the fulfillment of only one realization condition. Some sample results of circuits realized with the new simulated inductor using existing CMOS FTFN implementation have been given to demonstrate the workability of the new circuit.

Text classification algorithms for mining unstructured data: a SWOT analysis

Abstract: It has become increasingly crucial and imperative to facilitate knowledge extraction for decision support and deliver targeted information to analysts that span wide application domains. Interestingly, the buzzing term “big data” which is estimated to be 90% unstructured further makes it difficult to tap and analyze information with traditional tools. Text mining entails defining a process which transforms and substitutes this unstructured data into a structured one to discover knowledge. Use of classification algorithms to intelligently mine text has been studied extensively across literature. This study predominantly surveys the text classification algorithms employed in the process of mining unstructured data to report a conclusive analysis on the trend of their use in terms of their respective strengths, weaknesses, opportunities and threats (SWOT). The scope of these algorithms is then explored apropos the application area of sentiment analysis, a typical text classification task. A mapping which determines the unexplored social media technologies and the extent of use of these algorithms within respective social media is proffered to give an insight to the amount of work that has been done in the domain of machine learning based sentiment analysis on social media.