Aspect Based Sentiment Analysis
Aspect-Based Sentiment Analysis Using Bitmask Bidirectional Long Short Term Memory Networks
https://peace195.github.io/choose-distinct-units-in-lstm/
SemEval-2014 Task 4: Aspect Based Sentiment Analysis
SemEval-2015 Task 12: Aspect Based Sentiment Analysis
SemEval-2016 Task 5: Aspect Based Sentiment Analysis
I specialize in restaurants and laptops domain. You can see final results of these contests in [1][2]. The purposes of this project are:
Step by step:
BINGO!!
Outperforms state-of-the-art in semeval2014 dataset [3].
Achieved 81.2% accuracy. Better than 2.5% winner team in the semeval2015 competition [1].
Achieved 85.8% accuracy. rank 3/28 in the semeval2016 competition [2].
$ python sa_aspect_term_oop.py
Binh Do
[1] http://alt.qcri.org/semeval2015/cdrom/pdf/SemEval082.pdf
[2] http://alt.qcri.org/semeval2016/task5/index.php?id=data-and-tools
[3] http://alt.qcri.org/semeval2014/task4/index.php?id=data-and-tools
This project is licensed under the GNU License