Releases: Hakoguteta/Text-Analysis-and-NLP
SENTIMENT ANALYSIS For ENHANCED MARKETING STRATEGIES
Online reviews are becoming an essential source of feedback for brands in today’s digital landscape.
Customers are allowed to share their thoughts on a variety of digital platforms, and as a result,
evaluations provide an array of information about customer satisfaction and experiences. Knowing these
sentiments is not only helpful, but crucial for marketers.
Analysing these sentiments correctly can reveal possible problems, greatly affect how a brand is seen,
and eventually influence marketing tactics. Sentiment analysis is a potent method for deciphering and
categorising emotions represented in text data because it makes use of natural language processing
(NLP) capabilities (Kendall, 2024).
Marketers have a competitive advantage when they can comprehend and capitalise on customer
sentiments. Sentiment research makes it possible to understand client wants, preferences, and pain
points more thoroughly, which improves customer experiences and makes marketing initiatives more
successful (Indeed, 2023). The purpose of this study is to investigate how sentiment analysis can
improve marketing strategies by being applied to customer evaluations from Nike Shoes’ online store
The Impact Of Initial Value Distributions On Ethnic And Value Segregation Schelling's Model Extended
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