UseCasesFor.ai

AI Use Cases

A collection of over 250 uses for artificial intelligence

A continually updated list exploring how different types of AI are used across various industries and AI disciplines,including generative AI use cases, banking AI use cases, AI use cases in healthcare, AI use cases in government, AI use cases in insurance, and more

Sign up

to receive a PDF containing all the use cases and stay updated with the latest AI trends and news (you can always unsubscribe)

Sentiment analysis of reviews

Introduction

Tourism industry is one of the most significant industries in the global economy. This is because the industry is associated with large data sets that are collected from customer reviews, travel blogs, online booking sites, and social media platforms. The understanding of this data is very important for firms in the industry to formulate proper strategies, improve on their services and increase customer satisfaction. This is where Natural Language Processing (NLP) AI is used. NLP AI is a subfield of artificial intelligence that deals with the communication between human and machine language. With Sentiment Analysis it is able to process, analyse and create language that is considered to be human. Sentiment analysis is a method which is used to find out the orientation of the text which includes the identification of happiness, sadness, anger, surprise, etc. This article aims at applying NLP AI in the analysis of reviews in the tourism sector.

Challenges

There are several challenges that the tourism industry faces while implementing NLP AI for sentiment analysis and some of them are as follows: The first challenge is the large volume of unstructured data collected from diverse channels which makes it challenging to capture and process. The second challenge is the nature of human language which can be sarcastic, full of idioms, slangs and other features that may vary with culture, making it difficult for AI to grasp the context. The third challenge is the shortage of skilled personnel who can deploy and maintain AI technologies appropriately. Also, privacy issues are also a challenge since people want to know their information is safe and being used properly.

AI Solutions

Despite these challenges, several AI solutions have been developed. For example, state of the art NLP algorithms are capable of discharging and making sense of large quantities of unstructured information. These algorithms can also understand context, irony and other aspects of language including ability to recognize complex language patterns. AI can also use machine learning algorithms to enhance its language processing model over time. Some of the companies that offer NLP AI solutions which include sentiment analysis of customer reviews are IBM Watson and Google Cloud Natural Language. In addition, it is possible for AI tools to mask all personal data to meet the privacy policies. For instance, IBM Watson has a feature that can ‘deidentify’ text which means that it will remove any information that is identifiable to a specific person.

Benefits

There are a lot of advantages of applying NLP AI for sentiment analysis particularly in the tourism sector. It helps the organisations to know customer’s preference, the areas that need some changes and the actions to be taken. It can improve customer satisfaction through sending relevant offers depending on the customer’s mood. It can also allow organisations to track their brand image in real-time, address negative feedback effectively, and enhance their products and services. Furthermore, it can assist in the prediction of trends which will enable firms to be a step ahead of their rivals.

Return on Investment

The ROI of utilizing NLP AI for sentiment analysis can be very high. It can contribute to enhanced customer satisfaction and loyalty, which increases the customer retention rate and provides an opportunity for more sales. It can also lead to the optimization of costs as well as decrease the need for manual data processing and analysis. According to a study by IBM, companies that leverage AI for customer service can reduce handling time by 40%, which translates to huge cost savings. Although some capital is needed to implement AI, the returns in the long-run are quite impressive.

Choose Topic