If you follow our blog you might have realized the great amount of benefits companies can find using NLP – a technology that allows text analysis. In this post, for example, our CEO Riccardo Osti explains the difference between Social Media Learning and NLP, allowing us to realize how deep this technology may go in order to interpret and analyze texts.
However, you might wonder: how does this technology works, and how can we teach a machine to make text analysis?
In today’s video I’ve invited Anna Feltraco, a Linguistic Expert at Wonderflow, to explain you how machines can make text analysis. After her explanation, you’ll be able to understand how deep a machine can go in extracting meaning from text sentences, and how it can avoid biases, providing really accurate results.
The mechanisms she explains are what make NLP the best way to analyse tons of texts within a few minutes, and extract meaning from it.
Can you think of possible solutions this powerful tool can help humans with?
Please leave a comment in our video, and don’t forget to subscribe to Riccardo’s channel!
Wonderflow empowers businesses with quick and impactful decision-making because it helps automate and deliver in-depth consumer and competitor insights. All within one place, results are simplified for professionals across any high-UGC organization, and department to access, understand, and share easily. Compared to hiring more analysts, Wonderflow’s AI eliminates the need for human-led setup and analysis, resulting in thousands of structured and unstructured reviews analyzed within a matter of weeks and with up to 50% or more accurate data. The system sources relevant private and public consumer feedback from over 200 channels, including emails, forums, call center logs, chat rooms, social media, and e-commerce. What’s most unique is that its AI is the first ever to help recommend personalized business actions and predict the impact of those actions on key outcomes. Wonderflow is leveraged by high-grade customers like Philips, DHL, Beko, Lavazza, Colgate-Palmolive, GSK, Delonghi, and more.
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