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20122026
most citedNRC-Canada: Building the State-of-the-Art in Sentiment Analysis of Tweets

456 citations · 1.4k across the 47 of their papers we have counts for

collaborators
Showing 2013Show all

9 papers · 1 filter

cs.CL2013

Identifying Purpose Behind Electoral Tweets

Saif M. Mohammad, Svetlana Kiritchenko, Joel Martin

Tweets pertaining to a single event, such as a national election, can number in the hundreds of millions. Automatically analyzing them is beneficial in many downstream natural lang…

cs.CL2013★ 15 cited

Using Nuances of Emotion to Identify Personality

Saif M. Mohammad, Svetlana Kiritchenko

Past work on personality detection has shown that frequency of lexical categories such as first person pronouns, past tense verbs, and sentiment words have significant correlations…

cs.CL2013★ 171 cited

Tracking Sentiment in Mail: How Genders Differ on Emotional Axes

Saif M. Mohammad, Tony, Yang

With the widespread use of email, we now have access to unprecedented amounts of text that we ourselves have written. In this paper, we show how sentiment analysis can be used in t…

cs.CL2013★ 183 cited

From Once Upon a Time to Happily Ever After: Tracking Emotions in Novels and Fairy Tales

Saif Mohammad

Today we have access to unprecedented amounts of literary texts. However, search still relies heavily on key words. In this paper, we show how sentiment analysis can be used in tan…

cs.CL2013★ 37 cited

Colourful Language: Measuring Word-Colour Associations

Saif Mohammad

Since many real-world concepts are associated with colour, for example danger with red, linguistic information is often complimented with the use of appropriate colours in informat…

cs.CL2013★ 5 cited

Even the Abstract have Colour: Consensus in Word-Colour Associations

Saif M. Mohammad

Colour is a key component in the successful dissemination of information. Since many real-world concepts are associated with colour, for example danger with red, linguistic informa…