Company Filing History:
Years Active: 2018
Title: Prashanth Talanki: Innovator in Consumer Sentiment Analysis
Introduction
Prashanth Talanki is an accomplished inventor based in San Jose, California. He has made significant contributions to the field of consumer sentiment analysis through his innovative patent. His work focuses on integrating various data sources to provide insights into consumer behavior and sentiment.
Latest Patents
Prashanth holds a patent titled "Systems and methods for analyzing consumer sentiment with social perspective insight." This invention relates to cloud-based consumer sentiment analysis that incorporates social insights. The system integrates data from multiple sources, including structured, unstructured, social, and syndicated data. Key attributes are selected from this integrated data, allowing for the generation of consumer segments, sentiments, and attribute correlations. The segments are derived from social data, and clustering algorithms are utilized to generate correlations. Additionally, the invention dynamically generates sentiment and correlations using models based on the attributes of the integrated data. It also calculates polarity, emotion, and topicality for visualization purposes.
Career Highlights
Prashanth is currently employed at Saama Technologies, Inc., where he continues to develop innovative solutions in data analysis and consumer insights. His expertise in the field has positioned him as a valuable asset to his company and the industry at large.
Collaborations
Prashanth has collaborated with notable colleagues, including Rajeev Dadia and Vidya Sagar Anisingaraju. Their combined efforts contribute to the advancement of technology in consumer sentiment analysis.
Conclusion
Prashanth Talanki's work in consumer sentiment analysis exemplifies the impact of innovative thinking in technology. His patent showcases the potential of integrating diverse data sources to enhance understanding of consumer behavior. Through his contributions, he continues to shape the future of data analysis in the industry.