mirror of
https://github.com/xiamx/awesome-sentiment-analysis.git
synced 2024-12-28 00:59:29 -05:00
update
This commit is contained in:
parent
740365c973
commit
550dd9f25d
@ -32,10 +32,10 @@ The goal of this repository is to provide adequate links for scholars who want t
|
||||
|
||||
## Introduction
|
||||
|
||||
Sentiment Analysis (SA) happens at various levels:
|
||||
- Document-level SA evaluate sentiment of a single entity (i.e. a product) from a review document.
|
||||
- Sentence-level SA evaluate sentiment from a single sentence.
|
||||
- Aspect-level SA performs finer-grain analysis. For example, the sentence “the iPhone’s call quality is good, but its battery life is short.” evaluates two aspects: call quality and battery life, of iPhone (entity). The sentiment on iPhone’s call quality is positive, but the sentiment on its battery life is negative. (Liu 2012)
|
||||
Sentiment Analysis happens at various levels:
|
||||
- Document-level Sentiment Analysis evaluate sentiment of a single entity (i.e. a product) from a review document.
|
||||
- Sentence-level Sentiment Analysis evaluate sentiment from a single sentence.
|
||||
- Aspect-level Sentiment Analysis performs finer-grain analysis. For example, the sentence “the iPhone’s call quality is good, but its battery life is short.” evaluates two aspects: call quality and battery life, of iPhone (entity). The sentiment on iPhone’s call quality is positive, but the sentiment on its battery life is negative. (Liu 2012)
|
||||
|
||||
Most recent research focuses on the aspect-based approaches. But not all opensource implementations are caught up yet.
|
||||
|
||||
|
Loading…
Reference in New Issue
Block a user