Twitter Dual Sentiment Analysis (TDSA)

Abstract

Nowadays, Most of the people's interested area is social medias. They use social medias to know the reviews about various topics and areas. Sentiment analysis is the one of the technology used in social medias to know the reviews about movies, company products, social topics etc. The most popular technology used for sentiment analysis is Bag of Words (BOW). It is a uni-gram model. Which keep track of each words to decide whether the sentiment belong to positive or negative. But it has limitations due to the polarity shifting. So an alternative technology used for sentiment analysis is Dual Sentiment Analysis (DSA), which means considering two sides of one review, that is original review and its corresponding reverse review and check the probability of whether it belongs to positive class or negative class or neutral. In this paper, the Dual Sentiment Analysis is performed on the data from Twitter. Twitter is one of the social media, where peoples can put their reviews about a specific topic or any areas. So here using technology for sentiment analysis is Twitter Dual Sentiment Analysis (TDSA) for the analysis of twitter datas.

Authors and Affiliations

Neethu V M, Dr. S. Brilly Sangeetha

Keywords

Related Articles

Study of pH and electrical Conductivity of Soil in Deulgaon Raja Taluka, Maharashtra

The aim of this paper is to study the pH and electrical conductivity of soil and find out its nutrient value in region of Deulgaon raja taluka Maharashtra. Soil pH is important as it affects the growth of plants. pH of...

High Performance Cloud Computing

Abstract- HPC applications nowadays are gaining huge attention in cloud computing arena. Majority of the HPC applications are used for scientific applications or purposes. They require huge CPU usage and tremendous data...

Reduction of FWM in the optical system to improve the performance of optical communication by using DPSK modulation

In this paper an analysis of the performance limitation of SMF due to FWM effect is discussed. With the help of optsim simulation software a DCF has been employed with proper length and variation in dispersion and in co...

Cancerous Lung Nodules Detection and Classification Based on Computer Aided Diagnosis System

Lung cancer is the leading cause of cancer death among both men and women; about 1 out of 4 cancer deaths are from lung cancer, referring to extraordinary growth of lung nodule in the lung. Computed tomography (CT) scan...

Experimental Study on Comparison of Hooked- End and Crimped Steel Fibres

Fibres are generally used as a common engineering material for crack resistance and strengthening of concrete. Their properties and characteristics greatly influence the properties of concrete which has been proved alre...

Download PDF file
  • EP ID EP23802
  • DOI http://doi.org/10.22214/ijraset.2017.4095
  • Views 253
  • Downloads 6

How To Cite

Neethu V M, Dr. S. Brilly Sangeetha (2017). Twitter Dual Sentiment Analysis (TDSA). International Journal for Research in Applied Science and Engineering Technology (IJRASET), 5(4), -. https://europub.co.uk./articles/-A-23802