{"id":11957,"date":"2023-10-18T08:44:27","date_gmt":"2023-10-18T08:44:27","guid":{"rendered":"https:\/\/www.britopian.com\/?p=11957"},"modified":"2023-10-26T05:52:38","modified_gmt":"2023-10-26T05:52:38","slug":"sentiment-analysis","status":"publish","type":"post","link":"https:\/\/www.britopian.com\/data\/sentiment-analysis\/","title":{"rendered":"Sentiment Analysis: The Bedrock Of Data-Informed Marketing"},"content":{"rendered":"
Sentiment analysis, or opinion mining, identifies and extracts subjective information from text data using natural language processing and machine learning. It aims to determine the attitudes, opinions, emotions, and sentiments expressed in textual content.<\/p>\n\n\n\n
Sentiment analysis is a broad term encompassing computational techniques for understanding, extracting, quantifying, and studying affective states and subjective information. It examines text to reveal the underlying sentiment orientation as positive, negative, or neutral. Advanced sentiment analysis can detect emotions like joy, sadness, anger, and more.<\/p>\n\n\n\n
Sentiment analysis provides invaluable insights by programmatically identifying sentiments about entities like products, organizations, individuals, topics, and events. It is an interdisciplinary field of computer science, computational linguistics, and machine learning.<\/p>\n\n\n