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Blueprints for Text Analytics Using Python

Flipboard

Preparing Textual Data for Statistics and Machine Learning Technically, any text document is just a sequence of characters. To build models …

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Understand Text Mining Using No Code Tool Orange

Analytics Vidhya

Introduction Text Mining is also known as Text Data Mining or Text Analytics or is an artificial intelligence (AI) technology that uses natural language processing (NLP) to extract essential data from standard language text. It is a process to transform the unstructured data (text […].

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Lexalytics Celebrates Its Anniversary: 20 Years of NLP Innovation

Lexalytics

We’ve weathered the Great Recession and witnessed the rise of smartphones and social media, the emergence of cloud computing, the boom of ecommerce, and the magic of AI – and we’ve humbly played an active role in the way many businesses have navigated and benefited from these technological advancements throughout the years.

NLP 98
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Using AI-Mechanized Hyperautomation for Organizational Decision Making

Unite.AI

To elucidate the aforementioned conundrum, this article aims to analyze the current state-of-art of RPA and examine the converging impact of Artificial Intelligence (AI) and Machine Learning (ML) technologies. Gartner predicts that the global expenditure on software technologies enabling hyperautomation will reach USD 1.04

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Real-world usage of LLMs in Journalism

Ehud Reiter

Instead the focus was on what the above-mentioned report called Information Gathering and Sensemaking (eg, using text analytics to analyse stuff) and Business Uses (eg, finding potential advertisers). However the biggest impact of new technologies is often in new services and products. Which is not surprising.

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What is Tokenization in NLP?

Lexalytics

Tokenization is an interesting part of text analytics and NLP. Of course, like all text analytics, lemmatization is still a game of numbers; it simply doesn’t work every time. A Game of Numbers Tokenization and its related processes play a role in making text analytics better than crude heuristics.

NLP 98
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Automate call center quality assurance the right way

LevelAI

Text Analytics: Spotting occurrences of words This approach matches pre-defined keywords or sequences of words to text excerpts within call transcripts. A text analytics solution would be able to match the name of the company to verify if the agent has said, “Hello, this is Level AI customer service.