Remove Machine Learning Remove Social Media Remove Unstructured Data
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AI and Real-Time Tech vs. Traditional CX Surveys: Who Will Win the Upcoming Battle?

eglobalis

Social media has been a game-changer here: customers often voice praise or grievances on Twitter, Facebook, or WeChat as their experience unfolds. Smart brands use social listening tools to monitor these platforms continuously, detecting spikes in positive or negative sentiment and responding on the fly.

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The new dawn of Machine Learning

Intercom, Inc.

GPT-3 can create human-like text on demand, and DALL-E, a machine learning model that generates images from text prompts, has exploded in popularity on social media, answering the world’s most pressing questions such as, “what would Darth Vader look like ice fishing?” Paul, how are you? Paul Adams: I’m good, Des.

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Unlock Customer Insights with Social Media Text Analytics

SurveySensum

Social Media Text Analytics. But, what is it, and how does it work for social media monitoring? What is Social Media Text Analytics? Lets now understand how social media text analytics helps monitor social media. How Text Analytics Help Brand in Social Media Monitoring?

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Sentiment Analysis: Guide to Boost CX & Drive Business Insights

SurveySensum

From social media reviews to survey responses, customer data is everywhere. With the right tools and techniques, analyzing your survey data can reveal not just what your customers are saying, but how they truly feel about your products, services, and brand as a whole. Lets dive in and explore. What is Sentiment Analysis?

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Top 5 Text Analytics Tools: Features, Benefits, and Use Cases

SurveySensum

In this digital age, where feedback can be gathered from multiple sources from social media posts to online reviews, it has become imperative that you dont miss anything as each of these customer activities can be valuable for your business. Data Cleaning : It removes irrelevant data (e.g., So whats the solution here?

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How AI and Omnichannel Support Elevate Customer Service in Call Center

Hodusoft

This leads to customers repeating themselves when they have to switch different channels (phone, email, chat, social media). Machine Learning (ML) In the last few years, ML is proving to be a game changer for call centers and customer-facing organizations. Managing customer interactions manually can be resource-intensive.

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Track Performance and Boost Operational Efficiency With Contact Center Analytics

SurveySensum

Instead of relying on the traditional method of manually keeping track of customer interactions, feedback, and agent performance, contact center analytics centers around improving and optimizing customer service processes with the help of advanced analytics like AI, machine learning, etc. Let’s understand each of them.