Product feature extraction using natural language processing techniques
Nowadays many customers use online services for buying their desired products and many products and services are sold through the Web. On the one hand, considerable numbers of people are expressing their opinion about a particular product or service by writing comments on them; and on the other hand, collecting user’s opinions and giving feedback to the service or product providers. These are important techniques of increasing the chance of business success and improving service quality. For this, identifying opinion sentences and extracting appropriate features of review sentences can be perceived as a proper task. This paper applies techniques of natural language processing for the detection of sentences expressing an opinion. Subsequently, product features can be identified in each opinion sentence, considering appropriate grammatical concepts in the review sentence. In this instance, the review sentences will be considered as an input and extracted features and opinions as an output. Finally the results and accuracy of the system will be measured by related evaluation metrics.