{"title":"Tweet Analysis Based on Distinct Opinion of Social Media Users'","authors":"S. Geetha, V. K. Kaliappan","doi":"10.1109/icsns.2018.8573619","DOIUrl":"https://doi.org/10.1109/icsns.2018.8573619","url":null,"abstract":"The state of mind gets expressed via Emojis' and Text Messages for the huge population. Microblogging and social networking sites emerged as a popular communication channels among the internet users. Supervised text classifiers are used for sentimental analysis in both general and specific emotions detection with more accuracy. The main objective is to include intensity for predicting the different texts formats from twitter, by considering a text context associated with the emoticons and punctuations. The novel Future Prediction Architecture Based On Efficient Classification (FPAEC) is designed with various classification algorithms such as, Fisher's Linear Discriminant Classifier (FLDC), Support Vector Machine (SVM), Naïve Bayes Classifier (NBC) and Artificial Neural Network (ANN) Algorithm along with the BIRCH (Balanced Iterative Reducing and Clustering using Hierarchies) clustering algorithm. The priliminary stage is to analyze the distinct classification algorithm's efficiency, during the prediction process. Later, the classified data will be clustered to extract the required information from the trained data set using BIRCH method, for predicting the future. Finally, the perfomance of text analysis can get improved by using efficient classification algorithm.","PeriodicalId":190872,"journal":{"name":"2018 International Conference on Soft-computing and Network Security (ICSNS)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124416849","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Bhogaraju Venkata Yuvaraju, Likhith Venkiteela, K. M. Kumar
{"title":"A Presumptuous Encephalon Electronic Brain Computing in Gaming Gadgets","authors":"Bhogaraju Venkata Yuvaraju, Likhith Venkiteela, K. M. Kumar","doi":"10.1109/icsns.2018.8573662","DOIUrl":"https://doi.org/10.1109/icsns.2018.8573662","url":null,"abstract":"ENCEPHALON ELECTRONIC BRAIN COMPUTING(EEBC) is a solution for a newer approach of establishing communication with the system and invasively controls devices by the user with his/her capabilities. BCI is a framework that does not stress physical activity, in fact develops a regulation by corroborating contact with human brain waves and takes these waves as commands to perform operations in system by using the method EEG (electroencephalogram) cap. Moreover, BCI terminology is suitable for substantiate involutions in hospital field, gaming field and fields capable in usage of brain waves. Physically disabled people with loss of functioning in muscular activity exhibit to use BCI technology to perform commands in gaming origins and evince in other basis of respective fields.","PeriodicalId":190872,"journal":{"name":"2018 International Conference on Soft-computing and Network Security (ICSNS)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131288496","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}