3,660 research outputs found
TripleSent: a triple store of events associated with their prototypical sentiment
The current generation of sentiment analysis
systems is limited in their real-world applicability because they
cannot detect utterances that implicitly carry positive or negative
sentiment. We present early stage research ideas to address this
inability with the development of a dynamic triple store of events
associated with their prototypical sentiment
Exploring lexical patterns in text : lexical cohesion analysis with WordNet
We present a system for the linguistic exploration and analysis of lexical cohesion in English texts. Using an electronic thesaurus-like resource, Princeton WordNet, and the Brown Corpus of English, we have implemented a process of annotating text with lexical chains and a graphical user interface for inspection of the annotated text. We describe the system and report on some sample linguistic analyses carried out using the combined thesaurus-corpus resource
Word Affect Intensities
Words often convey affect -- emotions, feelings, and attitudes. Lexicons of
word-affect association have applications in automatic emotion analysis and
natural language generation. However, existing lexicons indicate only coarse
categories of affect association. Here, for the first time, we create an affect
intensity lexicon with real-valued scores of association. We use a technique
called best-worst scaling that improves annotation consistency and obtains
reliable fine-grained scores. The lexicon includes terms common from both
general English and terms specific to social media communications. It has close
to 6,000 entries for four basic emotions. We will be adding entries for other
affect dimensions shortly
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