Text analysis technologies represent a key segment in today's business environment, where time is considered one of the most valuable resources. Information management is becoming vital for organizations, and text analysis technologies enable fast and efficient processing of online data and documents.
Education on text analysis technologies provides a comprehensive overview of text data analysis processes with an emphasis on solving various business challenges. Automatic classification of business documents, email analysis, user sentiment research, automatic document compression and information extraction, like entities and keywords, are just some of the aspects it covers.
The course participants will be introduced to the basic settings of the application of machine learning procedures to user texts, including the modeling of problems from the business domain. Also, the course deals with basic methods of text representation, such as TF-IDF and embedinzi, providing insight into ways of implementing learning and evaluating machine learning models on text data.
Educational programme takes 5 hours, led by Prof. dr. sc. Sanda Martinčić-Ipšić Faculty of Informatics and Digital Technologies Rijeka.
Teaching will take place to be held on 7 February 2024., in hall 357 at Radmile Matejčić 2, Rijeka, starting at 2 p.m. and lasting until 7 p.m. Also, there is the possibility of participation through online platforms.
This course provides practical knowledge that is crucial for modern business, enabling participants to acquire text analysis skills that will improve the efficiency and competitive advantages of their organizations.
More information about education is available at the link.
Submit your application via the published the Public Call You will fill in the required documentation defined in the public call and send it by post to the project coordinator.
If you need help filling out documentation and responding to a public call, we are here for you.
Contact us at info@edihadria.eu Together, we will prepare everything you need to start the digital transformation process.
Find out how text analysis technologies can help your business through a short Case Study: Improving user experience through text analysis technology:
Background: XYZ, an online store company, faced the challenge of identifying and resolving customer issues in a timely manner. The number of queries via e-mail and social networks has steadily increased, and the traditional way of manual processing has become unsustainable.
Objective: XYZ's goal was to improve the user experience, reduce the response time to customer inquiries, and identify key aspects that affect customer satisfaction.
Solution: XYZ has decided to implement text analysis technology to automatically classify, rank and respond to diverse customer inquiries. Through cooperation with text analysis experts, solutions have been implemented that include sentiment analysis, key topic extraction, and automatic e-mail compression and classification.
Process:
- Sentiment analysis: Text analysis technology first classified sentiment in customer messages, allowing for the identification of dissatisfaction or potential problems.
- Extraction Information: Key information, such as order numbers or specific products, has been extracted to allow for faster and more precise processing.
- Automatic Compression: Long emails are automatically condensed, providing agents with a quick overview of key information and shortening response times.
- Classification of e-mails: E-mails are automatically classified according to priority and topic, allowing urgent issues to be resolved as a matter of priority.
Results: The implementation of text analysis technology has significantly improved the efficiency of XYZ's customer support. Response time to queries reduced by 40%, and customer satisfaction increased by 25%. In addition, the system has made it possible to monitor trends and identify customer needs, providing useful insights for strategic business planning.
Conclusion: This case study illustrates how text analysis technology can significantly improve user experience and operational efficiency in an online store. Through automatic text analysis, companies can respond faster and more accurately to the needs of their customers, creating a positive impression and strengthening customer loyalty.
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