Artificial Intelligence Applications in Real-Time Brand Sentiment Tracking
DOI:
https://doi.org/10.65579/31075037.0118Keywords:
Artificial Intelligence, Real-Time Sentiment Analysis, Brand Monitoring, Natural Language Processing, Machine Learning, Social Media Analytics, Predictive Analytics, Brand Reputation Management, Customer Engagement, Data-Driven MarketingAbstract
The rapid expansion in online platforms has changed the way the brand communicates to their consumers and real time sentiment tracking is coming up as a strategic need. The given research paper addresses how Artificial Intelligence (AI) can potentially be used with references to brand sentiment monitoring, analysis, and interpretation in a range of online platforms, including social media, review websites, and discussion boards, among others. The paper will discuss the ways in which the use of AI-based technologies, such as natural language processing, machine learning programs, and deep learning models, can help organizations to receive vast amounts of unstructured data and convert them into actionable information within a Second. This paper notes the relevance of AI in detecting emotional tone, contextual meaning, sarcasm, and trending identification thereby enhancing the quality and strength of sentiment analysis. It also discusses how real-time dashboards and predictive analytics can be helpful in proactive decision-making, crisis response and individual customer engagement strategies. Having automated data collection and advanced analytics, the businesses will be capable of identifying the changes in the perception of people, gauging the usefulness of the campaigns, and strengthening the brand positioning on the competitive markets. In addition, the paper touched upon the value of AI-based sentiment tracking systems in operations and strategic focus, including better customer relationships management, increased responsiveness, and data-driven marketing approaches. The problems of algorithmic bias, processing of the multilingual data, the problem of privacy and the security of the data are also under a critical consideration in order to provide a balanced standpoint. According to the conclusions, there is a close correlation between AI-driven real-time sentiment monitoring and the responsiveness of the company and market awareness. With the ongoing development of digital communication, the use of AI technologies is needed to help those brands that do not want to lose relevance, reputation, and to build sustainable customer retention in volatile business settings.
Downloads
Published
Issue
Section
License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.






