Understanding Sentiment Analysis
Sentiment analysis, also known as opinion mining, computationally identifies and categorizes opinions expressed in text data. It involves analyzing the polarity (positive, negative, or neutral) of textual content to gauge the sentiment or attitude of the author. In the context of customer reviews, sentiment analysis helps businesses understand how customers perceive their products or services.
Sentiment Analysis for Customer Reviews in R
In today’s digital age, businesses thrive or perish based on their ability to understand and respond to customer sentiment. Customer reviews on platforms such as Amazon, Yelp, or TripAdvisor provide a treasure trove of data, offering insights into consumer opinions, preferences, and satisfaction levels. Sentiment analysis, a branch of natural language processing (NLP), empowers businesses to extract meaningful insights from these reviews. In this article, we delve into the world of sentiment analysis for customer reviews using the R Programming Language.
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