Aspect Based Sentiment Analysis (ABSA) is often applied on amazon restaurants and laptops reviews. However, if you want to use movie reviews to implement aspect based sentiment analysis, you will find no aspect terms. In this tutorial, we will list some aspect terms in movie review dataset.
Aspect Based Sentiment Analysis
Here is the introduce:
Here is an example:
FOOD is the aspect term, we should predict the sentiment polarity of sentence a-g about FOOD.
Movie Review Dataset
There are some movie review dataset, for example: aclImdb, however, they are document-level review, not sentence-level with an aspect term.
A List of Movie Aspect Terms
We have collected some aspect terms on movie reivews from these two papers:
Viraj Parkhe, Bhaskar Biswas. Aspect Based Sentiment Analysis of Movie Reviews. International Conference on Soft Computing & Machine Intelligence. 2014
Tun et al. Aspect-based sentiment analysis of movie reviews on discussion boards. Journal of Information Science. 2010, pp 1-26
List all of them, they are:
movie film picture moving picture motion picture show picture show pic flick romantic comedy act acting actress actor role role playing portray character villain performance performed played casting cast direct direction directing director filmed filming filmmaking filmmaker cinematic edition cinematography storyline story tale romance dialog script storyteller ending storytelling revenge betrayal plot writing twist drama scene scenery animation violence screenplay action special effect stunt visual props camera graphic lyric sound music audio musical title track sound effect sound track score sound
There are 72 aspect terms.