Assessment of Sentiment in Tweets by Nature-Inspired Metaheuristics Algorithms based Feature Selection Anitha S, S. Santhosh Baboo, Mary Metilda 2025 IEEE International Conference on Blockchain and Distributed Systems Security Icbds 2025, 2025 COVID-19 had seemed initially in December, 2019 in China. People twittered frequently on twitter at the same time. It is the community Link obtains a enormous quantity of twitters Belief Mining or called Sentiment Analysis undertaken with the opinions specified by users as reviews in social media like twitter. Nature-inspired algorithms are a collection of problem-solving approaches resulting from natural processes. In this Research work, Covid19 twitters are handled by sentiment analysis by using Particle Swarm Optimization (PSO), Firefly and Cuckoo Search Algorithm. Covid 19 Dataset is acquired from Kaggle data repository. After the preprocessing steps, Twitter is considered into three groups (Positive, Neutral and Negative). The Resulting dataset has been effectively investigated by a proposed algorithm using machine learning classifiers with acceptable accuracy up to 89%.
Extremist Slender Proportion Design for the Plummeting Threads Using the Internet of Chattels K Angayarkkani, N Jagadeesan, S Anitha, S Shanmugapriya, S Kavitha, S Karunya 3rd International Conference on Integrated Circuits and Communication Systems Icicacs 2025, 2025 Computer threads kills and harms societies, abolish abodes, and origin financial loss. A little control Internet of Belongings (IoB) grounded device net is industrialized, which mechanically notices thread in afforests and directs the place to a dominant checking position with keen phone notices in an actual period location. The planned system senses thread from the company of hacks and an abrupt surge in malaise. The device bulges and center are intended with ultra-low control hardware and software building, overwhelming present of lone 1 %, correspondingly, so that they container be motorized by astral boards through the time. The dominant waiter and threads contain charts, and the computer thread sites are noticeable in the circumstance of a thread. The LTE modem usages lone of statistics lowermost present ingesting and they might run by simple astral boards deprived of physical renewing. LTE ingest the dominant waiter and progress the process in subsequent manner. “Suggested structure for proposed method to develop system performance and power efficiency with range coverage and alert with system scalability”.
A heuristic approach for observing outlying points in diabetes data set S. Anitha, M. Mary Metilda 2017 IEEE International Conference on Smart Technologies and Management for Computing Communication Controls Energy and Materials Icstm 2017 Proceedings, 2017 Data Mining is the process of analyzing large amount of data and useful for knowledge discovery. Detection of outliers is critically essential in the knowledge based society. Focusing on outlier detection in offline data stream has been increased in the past few years. The proposed a new CLOPD algorithm for identifying mislabelled data (anomaly) during clustering and increase the accuracy of cluster analysis in medical data set It consists of two phases, Partition and Detection. Clustering aims to partitioning the data into groups based on distance metrics. The instance, which does not interfere with respect to the clusters are considered and indentified (Detection) as outliers. The main purpose of the research work is to extracts mislabelled instance (outliers) from data set and its merits are discussed for further exploration. Finally the results were compared and depicted.
