{toc}
h2. Approach (for English so far)
Our aim is to evaluate sentiment polarity (Negative/Positive) at several levels of granularity:
* *document* (overall sentiment): appropriate for blog posts or technical review articles, estimated whether the author's opinion on the topic is generally positive or negative. Strong polarity means the author is very subjective.
* *paragraph* (aspect oriented)
* *entity* (very specific target)
Input: a *sentiment dictionary* of sentiwords, i.e. words that have some polarity, together with scores that quantify how positive or how negative they are.
h2. Sentiment dictionary
h2. Sentiment evaluation algorithms
Pipeline for document sentiment:
# Sentiment mapping
Pipeline for entity sentiment:
# Concept tagging
# Segmentation
# Sentiment mapping
# Sentiment evaluation
h2. Approach (for English so far)
Our aim is to evaluate sentiment polarity (Negative/Positive) at several levels of granularity:
* *document* (overall sentiment): appropriate for blog posts or technical review articles, estimated whether the author's opinion on the topic is generally positive or negative. Strong polarity means the author is very subjective.
* *paragraph* (aspect oriented)
* *entity* (very specific target)
Input: a *sentiment dictionary* of sentiwords, i.e. words that have some polarity, together with scores that quantify how positive or how negative they are.
h2. Sentiment dictionary
h2. Sentiment evaluation algorithms
Pipeline for document sentiment:
# Sentiment mapping
Pipeline for entity sentiment:
# Concept tagging
# Segmentation
# Sentiment mapping
# Sentiment evaluation