Multilingual Sentiment Analysis for the Malaysian Healthcare Industry

Social media has become a prominent part of modern communication. Consumers will share their opinions as well as experiences about services they use.

In the context of healthcare, patient reviews and feedback play a major role in improving the service quality and patient satisfaction.

Sentiment analysis is a technique that can be used to interpret and classify these textual opinions and it is a valuable tool in understanding the consumer’s sentiment.

Try out the Multilingual Sentiment Analyzer

Upload excel file if you want to do sentiment analysis on more than one text

How to do sentiment analysis on more than one text

Benefit of Using Sentiment Analysis

Sentiment analysis helps healthcare providers understand patient emotion during visits, treatments or aftercare which allows better personalized care.

Sentiment analysis on patient communication can aid in detecting changes in mood or concers which enables healthcare professionals to intervene earlier.

Identify emerging health trends, such as an increase in dissatisfaction with a specific treatment or concern about a health condition.

Help doctors understand the emotional tone of their communication with their patients either face-to-face interaction, or digital platforms. This will ensure more empathetic and supportive exchanges.

Help in identifying bottlenecks or inefficiencies in hospital or clinic operations, such as poor staff communication, long waiting times, or inadequate facilities, leading to process improvements.

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