Sentence Aspect Category Detection Save

Aspect-Based Sentiment Analysis

Project README


Multi-Lable category detection from restaurant reviews



This is the software that accompanies the paper "Understanding Citizen Issues through Reviews: A Step towards Data Informed Planning in Smart Cities" by Noman Dilawar, Hammad Majeed. The paper describes our model for Aspect Category Detection in Aspect Based Sentiment Analysis task of SemEval-2016. For Aspect Category Detection (Subtask1/Slot1), we used multiple methods to represent a sentence vector using algebraic combination of its word vectors. Feature vector is then directly used to train a multi-layer neural network for multi-label sentence classification algorithm. The proposed model is tested on a real world online challenge (SE-ABSA 2016). The experimental results of our approach has shown the highest F1 scores and outperforms the existing approaches.

Open Source Agenda is not affiliated with "Sentence Aspect Category Detection" Project. README Source: Nomiluks/Sentence-Aspect-Category-Detection

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