scholarly journals Framework for Sentimental Analysis of Twitter Data

2019 ◽  
pp. 345-354
Author(s):  
B. U. Anubharathi ◽  
Aishwarya V ◽  
S. Aparna ◽  
S. Divyaalakshmi
Keyword(s):  
Data Mining ◽  
Binary Classification ◽  
Pattern Match ◽  
Public Opinions ◽  
The Public ◽  
Match Technique ◽  
Twitter Data ◽  
Using Data

Twitter like Micro-blogging sites has become a wide space for individuals or organizations across the globe to express their views and experience in the form of tweets. The surge of data can be processed using Data mining to obtain further understanding about the public opinions. sentimental analysis is used here to search needs by detecting opinions or emotions from the twitter data. Our results show the cleaned texts of individual tweets using R. Sentimental analysis of any keyword that is given by user is processed. Sentimental analysis used here is helpful in binary classification of tweets i.e. Classification of tweets into positive and negative. Consolidated to this we also analyse Multiple sentiments of the tweets. We likewise break down most extreme recurrence of catchphrase utilized in the tweets and its users. Trending hashtags according to location using location ID and pattern match technique is utilized in finding the recurrence of hashtags utilized in a tweet of explicit end client.

Classification of Intrusion Detection Using Data Mining Techniques

2018 ◽  
pp. 753-764 ◽  
Author(s):  
Roma Sahani ◽  
Shatabdinalini ◽  
Chinmayee Rout ◽  
J. Chandrakanta Badajena ◽  
Ajay Kumar Jena ◽  
...  
Keyword(s):  
Data Mining ◽  
Intrusion Detection ◽  
Data Mining Techniques ◽  
Using Data

Classification of Product Rating Using Data Mining Techniques

2017 ◽  
pp. 27-36 ◽  
Author(s):  
Pinku Deb Nath ◽  
Sowvik Kanti Das ◽  
Fabiha Nazmi Islam ◽  
Kifayat Tahmid ◽  
Raufir Ahmed Shanto ◽  
...  
Keyword(s):  
Data Mining ◽  
Data Mining Techniques ◽  
Using Data ◽  
Product Rating

scholarly journals Application of Data Mining Techniques for Medical Data Classification: A Review

2018 ◽  
Vol 150 ◽  
pp. 06003 ◽  
Author(s):  
Saima Anwar Lashari ◽  
Rosziati Ibrahim ◽  
Norhalina Senan ◽  
N. S. A. M. Taujuddin
Keyword(s):  
Data Mining ◽  
Data Classification ◽  
Past Research ◽  
Medical Data ◽  
Extensive Literature ◽  
Literature Analysis ◽  
Data Mining Techniques ◽  
Medical Data Classification ◽  
Using Data

This paper investigates the existing practices and prospects of medical data classification based on data mining techniques. It highlights major advanced classification approaches used to enhance classification accuracy. Past research has provided literature on medical data classification using data mining techniques. From extensive literature analysis, it is found that data mining techniques are very effective for the task of classification. This paper analysed comparatively the current advancement in the classification of medical data. The findings of the study showed that the existing classification of medical data can be improved further. Nonetheless, there should be more research to ascertain and lessen the ambiguities for classification to gain better precision.

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