Materials Today: Proceedings | 2021
Sentiment analysis of product feedback using natural language processing
Abstract
Abstract Sentiment Analysis is characterised as contextual manipulation of the text that recognises subjective information in the source material and then extracts it and also helps many companies understand their product or service s social sentiment. Nearly all professional and non-technical companies use sentiment analysis in order to reliably interpret customer input and wishes on how the product or service is fit. Sentimental research is used by top companies in nontechnology and technology. This is more or less organisational and not available to the public. More feedback applications are based on the organisational level and a standard interface that almost any company can use in any field can be very useful to recognise feedback easily using the natural language processing algorithm, without needing a particular programme or application at the organisational level.Customer reviews are digitally gathered and analysed using the NLP algorithm for fast and accurate review. The usage for such purposes can be used by top organisations which have revealed APIs and SDK resources. In this input review method APIs from organisations such as IBM, Parallel points etc can be improved like Twitter, Facebook and WordPress.