@inproceedings{f28bb76bb864469995b567955f3f7a23,
title = "Semantize: Visualizing the sentiment of individual document",
abstract = "A plethora of tools exist for extracting and visualizing key sentiment information from a corpus of text documents. Often, however, there is a need for quickly assessing the sentiment and feelings that arise from an individual document. We describe an interactive tool that visualizes the sentiment of a specific document such as an online opinion, blog, or transcript, by visually highlighting the sentiment features while leaving the document text intact.",
keywords = "sentiment analysis, user interface, visualization",
author = "Wecker, {Alan J.} and Joel Lanir and Osnat Mokryn and Einat Minkov and Tsvi Kuflik",
year = "2014",
doi = "10.1145/2598153.2600056",
language = "English",
isbn = "9781450327756",
series = "Proceedings of the Workshop on Advanced Visual Interfaces AVI",
publisher = "Association for Computing Machinery",
pages = "385--386",
booktitle = "AVI 2014 - Proceedings of the 2014 International Working Conference on Advanced Visual Interfaces",
address = "United States",
note = "2014 12th International Working Conference on Advanced Visual Interfaces, AVI 2014 ; Conference date: 27-05-2014 Through 30-05-2014",
}