An Approach to Sentiment Analysis using Artificial Neural Network with Comparative Analysis of Different Techniques
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2016, Vol 18, Issue 2
Abstract
Abstract : Sentiment Analysis is the process of identifying whether the opinion or reviews expressed in a piece of work is positive, negative or neutral. Sentiment analysis is useful in social media monitoring to automatically characterize the overall feeling or mood of consumers as replicated in social media toward a specific brand or company and determine whether they are viewed positively or negatively on the web Sentiment Analysis has been widely used in classification of review of products and movie review ratings. This paper reviews the machine learning-based approaches to sentimentanalysis and brings out the salient features of techniques in place. The prominently used techniques and methods in machine learning-based sentiment analysis include - Naïve Bayes, Maximum Entropy and Support Vector Machine, K-nearest neighbour classification. Naïve Bayes has very simple representation but doesn't allow for rich hypotheses. Also theassumption of independence of attributes is too constraining. Maximum Entropy estimates the probability distribution from data, but it performs well with only dependent features. For SVM may provide the right kernel, but lacks the standardized way for dealing with multi-class problems. For improving the performance regarding correlation and dependencies between variables, an approach combining neural networks and fuzzy logic is often used
Authors and Affiliations
Pranali Borele , Dilipkumar A. Borikar
Keywords
Related Articles
- EP ID EP128318
- DOI -
- Views 119
- Downloads 0
Fast Remote data access for control of TCP/IP network using android Mobile device
Abstract: In today’s world most of the mobile have the use more than its basic functionality. As mobile becomes more advance to be have same architecture same as desktop system. Hence this feature should be used as...
Implementation of Ecc Using Socket Programming In Java.
Abstract: Elliptic Curve Cryptography (ECC) has attracted the attention of researchers and developers as it has got robust mathematical structure and higher security compared to algorithms like RSA (Rivest Adleman...
Comparison Of Neural Network And Differential Evolution In Estimation Of Air Quality Using Mean Square Error
Softcomputing techniques are fast becoming reliable and efficient means of prediction and estimation. This has made their application more wide spread in recent years. With the growing need for intelligent devices...
IVRS and DTMF based Voting System
Abstract: A Voting System will be developed where a person can vote using a cell phone. A phone connected tothe voting system, will decode the DTMF pulses sent by another phone(mobile/landline) belonging to the vot...
Pharmi Track
A mobile application is a computer program designed to run on mobile devices such as tablets and smart phones. The development of Mobile applications and Internet has increased the easiness of InformationComm...