Topic Modeling in Sentiment Analysis: A Systematic Review
Journal Title: Journal of ICT Research and Applications - Year 2016, Vol 10, Issue 1
Abstract
With the expansion and acceptance of Word Wide Web, sentiment analysis has become progressively popular research area in information retrieval and web data analysis. Due to the huge amount of user-generated contents over blogs, forums, social media, etc., sentiment analysis has attracted researchers both in academia and industry, since it deals with the extraction of opinions and sentiments. In this paper, we have presented a review of topic modeling, especially LDA-based techniques, in sentiment analysis. We have presented a detailed analysis of diverse approaches and techniques, and compared the accuracy of different systems among them. The results of different approaches have been summarized, analyzed and presented in a sophisticated fashion. This is the really effort to explore different topic modeling techniques in the capacity of sentiment analysis and imparting a comprehensive comparison among them.
Authors and Affiliations
Toqir A. Rana
Keywords
Related Articles
- EP ID EP326358
- DOI 10.5614/itbj.ict.res.appl.2016.10.1.6
- Views 143
- Downloads 0
Enhancing the Stability of the Improved-LEACH Routing Protocol for WSNs
Recently, increasing battery lifetime in wireless sensor networks has turned out to be one of the major challenges faced by researchers. The sensor nodes in wireless sensor networks use a battery as their power source, w...
Emotion Recognition from Facial Expressions using Images with Pose, Illumination and Age Variation for Human-Computer/Robot Interaction
A technique for emotion recognition from facial expressions in images with simultaneous pose, illumination and age variation in real time is proposed in this paper. The basic emotions considered are anger, disgust, happy...
Document Grouping by Using Meronyms and Type-2 Fuzzy Association Rule Mining
The growth of the number of textual documents in the digital world, especially on the World Wide Web, is incredibly fast. This causes an accumulation of information, so we need efficient organization to manage textual do...
A Comprehensive Survey of Data Mining Techniques on Time Series Data for Rainfall Prediction
Time series data available in huge amounts can be used in decision-making. Such time series data can be converted into information to be used for forecasting. Various techniques are available for prediction and forecasti...
Overlapping Cervical Nuclei Separation using Watershed Transformation and Elliptical Approach in Pap Smear Images
In this study, a robust method is proposed for accurately separating overlapping cell nuclei in cervical microscopic images. This method is based on watershed transformation and an elliptical approach. Since the watershe...