An Unsupervised Approach to Product Attribute Extraction

  title={An Unsupervised Approach to Product Attribute Extraction},
  author={Santosh Raju and Prasad Pingali and Vasudeva Varma},
Product Attribute Extraction is the task of automatically discovering attributes of products from text descriptions. In this paper, we propose a new approach which is both unsupervised and domain independent to extract the attributes. With our approach, we are able to achieve 92% precision and 62% recall in our experiments. Our experiments with varying dataset sizes show the robustness of our algorithm. We also show that even a minimum of 5 descriptions provide enough information to identify… CONTINUE READING
Highly Cited
This paper has 33 citations. REVIEW CITATIONS

From This Paper

Figures, tables, and topics from this paper.
22 Citations
4 References
Similar Papers

Similar Papers

Loading similar papers…