Three Level Fully Annotated Car Reviews

Published: 29 December 2021| Version 2 | DOI: 10.17632/k82x7czd87.2
Contributors:
Faraz Manzoor,
,

Description

The total 1000 reviews related to hybrid cars in the form of text reviews are extracted from the top car selling and purchasing websites. The dataset presents the customers sentiments in the form of reviews related to hybrid cars. Various aspects are taken into consideration while annotating the reviews such as, driving, performance, comfort, safety features, interior, exterior and accessories. The annotation of data is done at three levels by three annotators i.e., 1) overall polarity of a review, 2) segregation of the sentence term in which aspect is discussed, 3) polarity of the discussed aspect

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Institutions

Umm Al-Qura University, Lahore Garrison University, University of Management and Technology, Virtual University of Pakistan

Categories

Computer Science, Artificial Intelligence, Data Science, Machine Learning, Sentiment Analysis

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