NRC-Canada: Building the State-of-the-Art in Sentiment Analysis of\n Tweets
Why is this work in the frame?
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
No Canadian affiliation. An affiliation-only frame — the usual design — would never have seen this work. It is one of the works that make the case for inverting the frame.
Machine scores (provisional)
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
- Teacher spread
- 0.142 · how far apart the two teachers sit on this one work
- Validation status
score_only:v0-immature-baseline· verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it
Abstract
In this paper, we describe how we created two state-of-the-art SVM\nclassifiers, one to detect the sentiment of messages such as tweets and SMS\n(message-level task) and one to detect the sentiment of a term within a\nsubmissions stood first in both tasks on tweets, obtaining an F-score of 69.02\nin the message-level task and 88.93 in the term-level task. We implemented a\nvariety of surface-form, semantic, and sentiment features. with sentiment-word\nhashtags, and one from tweets with emoticons. In the message-level task, the\nlexicon-based features provided a gain of 5 F-score points over all others.\nBoth of our systems can be replicated us available resources.\n
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
The record
- Venue
- arXiv (Cornell University)
- Topic
- Sentiment Analysis and Opinion Mining
- Field
- Computer Science
- Canadian institutions
- —
- Funders
- —
- Keywords
- LexiconSentiment analysisTask (project management)Computer scienceVariety (cybernetics)Word (group theory)Natural language processingArtificial intelligenceTerm (time)State (computer science)Information retrievalLinguisticsEngineering
- Has abstract in OpenAlex
- yes