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How to analyze customer sentiment to improve customer experience

Sprout Social

That’s what sentiment analysis is all about. In this post, you’ll learn what customer sentiment analysis is, why it matters and how to do it right. Table of Contents What is customer sentiment analysis? Why do you need to analyze customer sentiment? Why do you need to analyze customer sentiment?

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A marketer’s guide to natural language processing (NLP)

Sprout Social

Natural language processing (NLP) is an artificial intelligence (AI) technique that helps a computer understand and interpret naturally evolved languages (no, Klingon doesn’t count) as opposed to artificial computer languages like Java or Python. What is natural language processing? It analyzes and generates both audio and text data.

Process 106
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How To Master Brand Sentiment Analysis – Beginner’s Edition

Keyhole.co

What people think and feel about your company, products, and services is your brand sentiment. In the absence of magical powers that can help you see into customers’ minds, brand sentiment allows you to dig deep into the mentions and messages that your brand receives to discover the underlying emotions that are being expressed.

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How AI insights improve decision making

Sprout Social

This process involves a combination of machine learning (ML), natural language processing (NLP) and AI data visualization techniques (charts, graphs, dashboards , heat maps, etc) to make the data more accessible. AI insights are the knowledge and understanding gained by analyzing complex datasets using AI.

Sentiment 107
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Role of artificial intelligence in marketing

Sprout Social

AI technologies like natural language processing (NLP), machine learning (ML), sentiment analysis and others guide decision-making, so you stay ahead of competitors and are prepared for the challenges of a dynamic marketplace. This leads to stronger connections and loyalty that stimulate your sales.

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How to use AI analytics for targeted business decisions

Sprout Social

AI analytics is the process of extracting useful information from big data using advanced machine learning (ML) and AI tasks like natural language processing (NLP). It is used to identify patterns and trends in data for informed decision-making. What is AI analytics? Why should we use AI for data analysis?

Analytics 109
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The role of artificial intelligence in business in 2024

Sprout Social

Each domain benefits from AI’s ability to streamline processes, improve efficiency, and provide actionable insights, making every interaction and decision more meaningful and effective. Today, AI is an umbrella term that includes various subfields, such as machine learning, deep learning and natural language processing.

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