Seybold Report ISSN: 1533-9211
Dr Soumyashree N Hegde
Vol 19, No 2 ( 2024 ) | Licensing: CC 4.0 | Pg no: 168-181 | Published on: 31-12-2024
Abstract
This article explores the intersection of sentiment assessment and content fabric advertising Sand marketing and advertising, emphasizing the utility of Natural Language Processing (NLP) to expand focused marketing and advertising and marketing campaigns. It introduces key standards of sentiment evaluation, highlighting its significance in data client emotions and preferences. The paper discusses how NLP strategies may be hired to investigate client comments, social media interactions, and market inclinations, permitting marketers to tailor their strategies efficaciously. A complete assessment of gift literature is provided, showcasing various methodologies for integrating sentiment evaluation into content material cloth marketing efforts. The article examines case research demonstrating successful sentiment-driven campaigns and descriptions the worrying situations marketers face, including information awesome, sentiment ambiguity, and the want for actual-time analysis. It additionally discusses assessment metrics that gauge the effectiveness of sentiment-informed strategies. By figuring out gaps in modern studies and suggesting destiny avenues for exploration, this text serves as a vital resource for marketers and researchers seeking to leverage NLP for extra impactful content marketing initiatives.
Keywords:
Content advertising, leveraging Natural Language Processing (NLP) to create targeted campaigns based totally totally on customer emotions. By analyzing consumer feedback from assets like social media, entrepreneurs can decorate their techniques, no matter the fact that traumatic situations like sentiment ambiguity and the need for actual-time insights persist.