Topic-Based Bengali Opinion Summarization

@inproceedings{Das2010TopicBasedBO,
  title={Topic-Based Bengali Opinion Summarization},
  author={Amitava Das and Sivaji Bandyopadhyay},
  booktitle={COLING},
  year={2010}
}
In this paper the development of an opinion summarization system that works on Bengali News corpus has been described. The system identifies the sentiment information in each document, aggregates them and represents the summary information in text. The present sys-tem follows a topic-sentiment model for sentiment identification and aggregation. Topic-sentiment model is designed as discourse level theme identification and the topic-sentiment aggregation is achieved by theme clustering (k-means… CONTINUE READING
Highly Cited
This paper has 18 citations. REVIEW CITATIONS
13 Citations
18 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-10 of 13 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 18 references

Morphologi-cal Stemming Cluster Identification for Bangla., In Knowledge Sharing Event-1: Task 3: Morphologi-cal Analyzers and Generators, January, 2010, Mysore

  • A. Das, S. Bandyopadhyay
  • 2010
Highly Influential
4 Excerpts

SentiWordNet for Bangla. In Knowledge Sharing Event-4: Task 2: Building Electronic Dictionary

  • A. Das, S. Bandyopadhyay
  • February 23th to 24th,
  • 2010
Highly Influential
4 Excerpts

Similar Papers

Loading similar papers…