What's with the Attitude? Identifying Sentences with Attitude in Online Discussions

@inproceedings{Awadallah2010WhatsWT,
  title={What's with the Attitude? Identifying Sentences with Attitude in Online Discussions},
  author={Ahmed Hassan Awadallah and Vahed Qazvinian and Dragomir R. Radev},
  booktitle={EMNLP},
  year={2010}
}
Mining sentiment from user generated content is a very important task in Natural Language Processing. An example of such content is threaded discussions which act as a very important tool for communication and collaboration in the Web. Threaded discussions include e-mails, e-mail lists, bulletin boards, newsgroups, and Internet forums. Most of the work on sentiment analysis has been centered around finding the sentiment toward products or topics. In this work, we present a method to identify… CONTINUE READING
Highly Cited
This paper has 86 citations. REVIEW CITATIONS

Citations

Publications citing this paper.
Showing 1-10 of 60 extracted citations

A Rumor Events Detection Method Based on Deep Bidirectional GRU Neural Network

2018 IEEE 3rd International Conference on Image, Vision and Computing (ICIVC) • 2018
View 1 Excerpt

A novel rumor detection method based on labeled cascade propagation tree

2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD) • 2017
View 1 Excerpt

86 Citations

01020'12'14'16'18
Citations per Year
Semantic Scholar estimates that this publication has 86 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.
Showing 1-10 of 34 references

Similar Papers

Loading similar papers…