Bøger af Kavitha K

evaluating the sentiment of all texts provides organizations with an overview of how positive and negative users are on a given issue. To use sarcasm is to be in a condition of discourse in which the author describes something obviously hostile to the listener or another person with the intent to insult or ridicule them. It is challenging to create a model that can accurately identify sarcasm in the field of natural language processing since sarcasm identification relies heavily on the context of utterances or phrases (NLP). Recent developments in deep learning (DL) models have an impact on neural networks (NN) in learning both lexical and contextual information, doing away with the need for manually constructed features in sarcasm detection. An automated sarcasm identification model has been developed to recognise the original emotion of a given text when sarcasm is present, allowing for accurate sarcasm detection.

The growing scarcity of power resources tends researchers to find alternate sources to generate electric power. Even though the electric power could be generated from various natural resources, the only all time available resource throughout the year is sun light. The power generation from sun light is called up with the name photovoltaic system, which consists of varying number of photovoltaic cells that stores generated electric power for some time. Generally the deviation between the generated unit of electricity and consumed unit of electricity is higher due to the conduction loss. Similarly there is a conversion loss which is called switching loss present in every electric system. The energy generated from photovoltaic system has to be regulated to provide uninterrupted power supply according to the system to which it has been connected. There are many devices necessary for the conversion and regulation of power supply to the output device. In this research Cuk converter is considered which is a popular and efficient converter being used in the electronic world.