Empowering Insights -Automating Sentiment Analysis and Dashboard Visualization for Customer Feedback

Hello and Welcome to the OCI Deep Dive: Empowering Insights with Sentiment Analysis

Welcome to our weekly OCI Deep Dive session! In today’s session, we will be exploring the transformative potential of OCI AI Language Service and how it can be used to automate sentiment analysis from customer feedback. Our presenter, Harris Kesi, an integration specialist on the Oracle EMA AI and App Modernization team, will guide us through a live presentation and demo. We also have Juan Carlos Gonzalez Carrero, a QA lead and app integration specialist, who will be answering your questions. So, let’s dive in!

The Importance of Customer Feedback

In today’s world, businesses rely heavily on customer feedback to make informed decisions. Whether it’s choosing a product, watching a movie, or trying out a new restaurant, we always seek feedback from our peers. Businesses are keen to understand what their customers are saying about their products or services. Positive feedback helps them build brand loyalty, while negative feedback provides an opportunity for improvement. However, with the sheer volume of feedback received, it becomes challenging for businesses to manually analyze and take action on each one. This is where AI and sentiment analysis come into play.

OCI AI Language Service: Harnessing the Power of Language Processing

Oracle Cloud Infrastructure (OCI) offers a comprehensive suite of AI services, including the OCI AI Language Service. This service provides various capabilities, such as language detection, translation, sentiment analysis, named entity recognition, and more. In the context of sentiment analysis, the OCI AI Language Service can analyze customer feedback data and determine whether the sentiment expressed is positive, negative, or neutral. It can also identify key phrases and entities mentioned in the text.

Automating Sentiment Analysis with Oracle Integration Cloud

To automate the sentiment analysis process, we can leverage Oracle Integration Cloud (OIC). OIC is a leading iPaaS (Integration Platform as a Service) solution that enables seamless integration between different applications and services. With OIC, we can connect to various data sources, such as email, file attachments, social media, and more, to retrieve customer feedback. We can then pass this data to the OCI AI Language Service for sentiment analysis.

In our live demo, we will showcase how OIC can be used to automate sentiment analysis from customer feedback. We will start by uploading a file containing customer feedback to Oracle Object Storage. As soon as the file is uploaded, an event is triggered, which sends a message to OCI Streaming Service. OIC is subscribed to this stream and will receive the message. It will then download the file, extract the feedback data, and pass it to the OCI AI Language Service for sentiment analysis.

Once the sentiment analysis is complete, OIC will store the results in an Oracle Autonomous Database. We can then create analytics dashboards to visualize the sentiment analysis data and monitor customer feedback in real-time. This allows businesses to take proactive actions based on customer sentiment and improve their products or services accordingly.

Conclusion

The combination of OCI AI Language Service and Oracle Integration Cloud provides a powerful solution for automating sentiment analysis from customer feedback. By leveraging AI and language processing capabilities, businesses can gain valuable insights into customer sentiment and take proactive actions to enhance customer satisfaction. With the ability to integrate with third-party survey tools, analyze audio recordings, and process images, the possibilities are endless. By harnessing the power of OCI AI and OIC, businesses can unlock the transformative potential of customer feedback analysis.

Frequently Asked Questions

Can the OCI AI Language Service read from voice recordings, videos, and images?

No, the OCI AI Language Service operates on text data. However, you can use the OCI Speech service to convert audio recordings into text and the OCI Vision service to extract metadata from images. By combining these services with the OCI AI Language Service, you can perform sentiment analysis on voice recordings, videos, and images.

Can the sentiment analysis be converted into star ratings?

Yes, you can convert sentiment analysis scores into star ratings using decision rules within Oracle Integration Cloud. By defining decision rules based on the sentiment analysis scores, you can map them to specific star ratings. This allows you to represent sentiment analysis results in a more intuitive and familiar format.

Can the OCI AI Language Service be integrated with third-party survey tools?

Yes, the OCI AI Language Service can be integrated with third-party survey tools. By retrieving feedback data from these tools and passing it to the OCI AI Language Service for sentiment analysis, you can automate the analysis of customer feedback and gain valuable insights.

Is there a step-by-step example of implementing sentiment analysis using OCI AI Language Service and Oracle Integration Cloud?

Yes, you can find step-by-step examples and practical use cases in Oracle Live Labs. These labs provide hands-on experience and detailed instructions on how to implement sentiment analysis using OCI AI Language Service and Oracle Integration Cloud. You can explore these labs to gain a deeper understanding of the capabilities and implementation process.

How can I integrate audio recordings, videos, and images with OCI AI Language Service and Oracle Integration Cloud?

To integrate audio recordings, videos, and images with OCI AI Language Service and Oracle Integration Cloud, you can use the OCI Speech service to convert audio recordings into text and the OCI Vision service to extract metadata from images. Once you have the text data, you can pass it to the OCI AI Language Service for sentiment analysis. Oracle Integration Cloud can orchestrate the entire process and handle the integration with these services.

Can OCI AI Language Service handle multiple languages?

Yes, the OCI AI Language Service supports multiple languages. It can detect and analyze text in over 70 different languages. This allows businesses to perform sentiment analysis on customer feedback data in various languages and gain insights from a global perspective.