PROJECT TITLE :

Supervised Topic Modeling Using Hierarchical Dirichlet Process-Based Inverse Regression: Experiments on E-Commerce Applications - 2018

ABSTRACT:

The proliferation of e-commerce involves mining client preferences and opinions from user-generated text. To this end, topic models are widely adopted to discover the underlying semantic themes (i.e., topics). Supervised topic models have emerged to leverage discovered topics for predicting the response of interest (e.g., product quality and sales). However, supervised topic modeling remains a challenging downside because of the need to prespecify the number of topics, the lack of predictive data in topics, and limited scalability. In this Project, we tend to propose a novel supervised topic model, Hierarchical Dirichlet Method-primarily based Inverse Regression (HDP-IR). HDP-IR characterizes the corpus with a flexible variety of topics, which persuade retain as a lot of predictive info as the first corpus. Moreover, we develop an efficient inference algorithm capable of examining giant-scale corpora (many documents or more). Three experiments were conducted to evaluate the predictive performance over major e-commerce benchmark testbeds of on-line reviews. Overall, HDP-IR outperformed existing state-of-the-art supervised topic models. Significantly, retaining sufficient predictive information improved predictive R-squared by over seventeen.6 %; having topic structure flexibility contributed to predictive R-squared by at least 4.1 p.c. HDP-IR provides an vital step for future study on user-generated texts from a subject perspective.


Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here


PROJECT TITLE :Supervised Polarimetric SAR Image Classification Using Tensor Local Discriminant Embedding - 2018ABSTRACT:Feature extraction may be a terribly vital step for polarimetric artificial aperture radar (PolSAR) image
PROJECT TITLE : Supervised and Unsupervised Aspect Category Detection for Sentiment Analysis with Co-Occurrence Data - 2017 ABSTRACT: Using on-line consumer reviews as electronic word of mouth to help purchase-decision making
PROJECT TITLE : Analyzing Sentiments in One Go: A Supervised Joint Topic Modeling Approach - 2017 ABSTRACT: During this work, we focus on modeling user-generated review and overall rating pairs, and aim to spot semantic aspects
PROJECT TITLE : Silhouette Analysis for Human Action Recognition Based on Supervised Temporal t-SNE and Incremental Learning - 2015 ABSTRACT: This paper develops a person's action recognition method for human silhouette sequences
PROJECT TITLE :Modeling, Limits and Baseline of Voltage Interharmonics Generation in Andean Wind FarmsABSTRACT:The subsequent study focuses on the analysis of voltage interharmonics based mostly on power quality experimental information

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry