Sentiment analysis refers to the process of identifying positive, negative or neutral sentiment in text. This technology is commonly used by businesses today to gauge brand reputation, gain a better understanding of customer concerns and detect sentiment in social data.
Modern customers have become more open to expressing their feelings and thoughts than ever, thereby making sentiment analysis a vital tool to monitor and understand their attitude, outlook and emotions. By choosing to automatically analyze customer feedback like social media conversations and opinions in survey responses, you can easily gain a better understanding of what makes your patrons satisfied and happy or frustrated and annoyed. This would invariably make it easier for you to tailor your offerings in a manner that can effectively meet the needs of their customers.
Benefits of sentiment analysis:
- Sorting data at scale: There is just too much business data available today to process manually, ranging from thousand customer support conversations to social media interactions. With sentiment analysis, you can process this extensive amount of data more affordably and effectively.
- Real-time analysis: Sentiment analysis allows you to identify and solve critical issues in real-time, such as responding to angry customers.
- Consistent criteria: Centralized sentiment analysis system can be quite effective in enabling you to gain better customer insights and improve accuracy.
Sentiment analysis in Hindi
While sentiment analysis in English has become extremely common and is quite easy to carry out, there is a high chance that your customer base does not comprise only of English speaking individuals. While English is widely spoken in India, there is a still large chunk of people in the country to majorly speak in Hindi.
Hindi is the most widely spoken language in India and the fourth most extensively spoken language across the globe. Hence, you cannot afford to leave out this language from your sentiment analysis process. To competently connect with your customer base and meet their demands, it is vital to carry out sentiment analysis in Hindi.
Microsoft adds Hindi to its Text Analytics service
Traditionally is it quite complex to perform sentiment analysis in Hindi, as to do so you had to develop algorithms from scratch. However, recently Microsoft has added Hindi to its Text Analytics service, making this process way easier for you.
This update has been designed to aid brands to break language barriers, and reach out to discerning Hindi speaking patrons.
By leveraging the Microsoft Azure Text Analytics service, you can gain a good understanding of what your Hindi speaking customers think about your product or services, thereby enabling you to expand your user’s feedback reach. By perfectly catering to their concerns, you can surely deepen the trust enjoyed by your brand amidst various local customers. Using Microsoft Text Analytics service would also allow you to provide better customer support to your local customers in Hindi, and analyze their feedback seamlessly.
Microsoft Text Analytics service
This Text Analytics service is powered by the Microsoft Azure platform, and makes use of the latest AI models. Some of the key functions of this platform include language detection, key phrase extraction, opinion mining, as well as sentiment analysis. The sentiment analysis feature incorporated under this tool tends to evaluate text thoroughly, and subsequently provides confidence scores for negative, neutral and positive sentiment in each sentence within a document, and even the document as a whole. This service can be used for any audio or textual input or feedback in combination with the Speech-to-Text service offered by Microsoft Azure.
The sentiment analysis feature of the Microsoft Text Analytics service basically evaluates texts and returns confidence scores, while providing distinguished sentiment labels based on the scoring. You can easily access this tool through the Azure cloud, as well as on-premises with the use of Containers. The sentiment analysis feature offers more granular information about the perceptions and opinions related to various aspects of your brand. This feature has been designed to especially provide you with an extensive and valuable insight into the perception of your organization and its offerings amidst your target audience, while delivering swift and actionable signals on whether everything is going as per requirements or corrective actions are needed.
Now you can use this advanced Text Analytics service to analyze and determine clues about such sentiments in Hindi. It makes it possible for you to extract insights from customer service calls made in Hindi, and display results on a portal or dashboard to comprehend the concerns of your customers in a simple, yet efficient manner. It also goes a long way in driving customer engagement and underlines customer service trends.
In addition to Hindi, the Text Analytics service of Microsoft Azure supports more than 20 languages, making it a comprehensive solution for your sentiment analysis needs.