Open AccessAdvanced Machine Learning Techniques used for Deodorant Based Sentimental Anatomy
Author(s) -
Cmak Zeelan Basha,
Viashnavi Yaramanchu,
Y Spoorthy,
Y Divya
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.d8626.118419
Subject(s) - computer science , categorization , naive bayes classifier , unstructured data , artificial intelligence , the internet , machine learning , support vector machine , information retrieval , data mining , world wide web , big data
Now a days there is lots of data floating in the life of world access i.e Internet which is unstructured data.To manage this unstructured data we are introduced some classification algorithms in machine learning to classify the data.Sentiment Analysis[5] is contextual mining of text from documents ,reviews of customers which distinguishes and concentrates emotional data in source material. Assessment API works in fourteen unique dialects .We consider the issue of grouping records not by subject, however by generally speaking slant, e.g., deciding if an audit is certain or negative. Utilizing antiperspirants surveys as information, we locate that standard AI systems absolutely beat human-delivered baselines. The AI stratagies we connected with for arrangement are Naive Bayes, maximum entropy[2] classification, and support vector machines classification algorithms for sentiment classification as on traditional topic-based categorization.[1].