Request Correction
Use this form to request corrections to the paper metadata. Select the fields that need correction and provide the correct information.
Correction Guidelines
- Click the edit button next to a field to report a correction.
- Fill in the suggested correction value for each field you want to correct.
- Provide your name and email so we can contact you if needed.
Paper Information
Utilizing Large Twitter Corpora to Create Sentiment Lexica
Paper Fields
Click the edit button next to a field to report a correction.
Utilizing Large Twitter Corpora to Create Sentiment Lexica
The paper describes an automatic Twitter sentiment lexicon creator and a lexicon-based sentiment analysis system. The lexicon creator is based on a Pointwise Mutual Information approach, utilizing 6.25 million automatically labeled tweets and 103 million unlabeled, with the created lexicon consisting of about 3 000 entries. In a comparison experiment, this lexicon beat a manually annotated lexicon. A sentiment analysis system utilizing the created lexicon, and handling both negation and intensification, produces results almost on par with sophisticated machine learning-based systems, while significantly outperforming those in terms of run-time.
Authors
Expand an author to correct their information. Use the remove button to request author removal, or add a new author.
PDF Attachment
You may attach a PDF as a corrected version of the paper. Max file size: 10MB. Only PDF files are accepted.
Your Information
Author Declaration *
Select at least one field to correct using the edit buttons above.