Project details for Multi Annotator Supervised LDA for regression

Logo Multi Annotator Supervised LDA for regression v1.0

by fmpr - January 16, 2017, 18:07:16 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ]

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MA-sLDAr is a C++ implementation of the supervised topic models with response variables provided by multiple annotators with different levels of expertise, as proposed in:

  • Rodrigues, F., Lourenço, M, Ribeiro, B, Pereira, F. Learning Supervised Topic Models for Classification and Regression from Crowds. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2017.

Sample multiple-annotator data using the MovieReviews dataset and more datasets are available here:

Changes to previous version:

Initial Announcement on

BibTeX Entry: Download
Corresponding Paper BibTeX Entry: Download
Supported Operating Systems: Linux, Mac
Data Formats: Various
Tags: Topic Modeling, Supervised Learning, Crowdsourcing
Archive: download here


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