Social Informatics
Springer, Cham
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Twitter Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
EmojiNet: Building a Machine Readable Sense Inventory for Emoji
|
|---|---|
| Chapter number | 33 |
| Book title |
Social Informatics
|
| Published in |
Lecture notes in computer science, October 2016
|
| DOI | 10.1007/978-3-319-47880-7_33 |
| Pubmed ID | |
| Book ISBNs |
978-3-31-947879-1, 978-3-31-947880-7
|
| Authors |
Sanjaya Wijeratne, Lakshika Balasuriya, Amit Sheth, Derek Doran |
| Abstract |
Emoji are a contemporary and extremely popular way to enhance electronic communication. Without rigid semantics attached to them, emoji symbols take on different meanings based on the context of a message. Thus, like the word sense disambiguation task in natural language processing, machines also need to disambiguate the meaning or 'sense' of an emoji. In a first step toward achieving this goal, this paper presents EmojiNet, the first machine readable sense inventory for emoji. EmojiNet is a resource enabling systems to link emoji with their context-specific meaning. It is automatically constructed by integrating multiple emoji resources with BabelNet, which is the most comprehensive multilingual sense inventory available to date. The paper discusses its construction, evaluates the automatic resource creation process, and presents a use case where EmojiNet disambiguates emoji usage in tweets. EmojiNet is available online for use at http://emojinet.knoesis.org. |
Twitter Demographics
The data shown below were collected from the profiles of 7 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 71% |
| Switzerland | 1 | 14% |
| Japan | 1 | 14% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 69 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 23% |
| Student > Master | 12 | 17% |
| Student > Bachelor | 8 | 12% |
| Researcher | 6 | 9% |
| Student > Doctoral Student | 3 | 4% |
| Other | 9 | 13% |
| Unknown | 15 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 23 | 33% |
| Arts and Humanities | 6 | 9% |
| Linguistics | 6 | 9% |
| Business, Management and Accounting | 4 | 6% |
| Social Sciences | 4 | 6% |
| Other | 10 | 14% |
| Unknown | 16 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 03 November 2017.
All research outputs
#7,015,001
of 22,965,074 outputs
Outputs from Lecture notes in computer science
#2,292
of 8,137 outputs
Outputs of similar age
#106,241
of 315,578 outputs
Outputs of similar age from Lecture notes in computer science
#124
of 408 outputs
Altmetric has tracked 22,965,074 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 8,137 research outputs from this source. They receive a mean Attention Score of 5.0. This one has gotten more attention than average, scoring higher than 70% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 315,578 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 408 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.