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

Sprout Social

NLP powers AI tools through topic clustering and sentiment analysis , enabling marketers to extract brand insights from social listening, reviews, surveys and other customer data for strategic decision-making. NLP uses rule-based approaches and statistical models to perform complex language-related tasks in various industry applications.

Process 111
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The role of artificial intelligence in business in 2024

Sprout Social

The development of AI has led to the creation of numerous applications, including chatbots, virtual personal assistants (e.g., These applications demonstrate the practical implementation of AI in performing specific tasks with high accuracy and efficiency.

Patterns 121
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How to supercharge your marketing strategy with AI automation

Sprout Social

In this article, we talk more about AI automation, how it benefits organizations and what its most common applications are in the business world. Sentiment analysis can also be applied to automatically prioritize customer complaints so customer care teams know which cases to handle first. What is AI automation?

Strategy 105
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The role of AI in creating a more human customer experience

Sprout Social

You’ll also see eight practical applications of AI for creating a memorable, personalized customer experience. AI customer experience is the use of AI technologies like natural language processing (NLP), text analysis and sentiment analysis to delight customers wherever and however they interact with your brand.

Sentiment 105
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Social Listening Vs. Social Monitoring: What’s The Difference?

Keyhole.co

So, when we delve into social listening, we’re exploring the “why” – the motivations and sentiments that drive the online discourse. You need to gauge and analyze the overall sentiment of online conversations related to your brand. Monitoring tackles the symptoms, and listening dives deep to reveal the root causes.

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How to create better social listening queries

Sprout Social

Even just one solid query can give a brand a rich, unbiased view of consumer sentiment. In this article, we’ll show you how to craft social listening queries that answer your burning questions on consumer preferences, sentiment and more. Social listening has always been a powerful tool for brands that know how to wield it effectively.

How To 99
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Discovering New Applications for Data and Analysis

Net-Savvy Executive

Here's how it works: First, remember the basic building blocks of social media analysis : data, analytics, and application. Analytic methods Sentiment analysis, topic clustering, source profiling, statistical analysis, geospatial analysis—the list goes on and on. We fall back on social media + sentiment analysis + marketing.