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Using AI-Mechanized Hyperautomation for Organizational Decision Making

Unite.AI

RPA Bots Becoming Super Bots: Driving Intelligent Decision Making RPA bots that originally operated on rule-based programs through learning patterns and emulating human behavior for performing repetitive and menial tasks have become super bots, with Conversational AI and Neural Network algorithms coming into force.

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Text Summarization for NLP: 5 Best APIs, AI Models, and AI Summarizers in 2024

AssemblyAI

Taking this intuition further, we might consider the TextRank algorithm. Google uses an algorithm called PageRank in order to rank web pages in their search engine results. Developers wishing to test plnia can sign up for a 10-day free trial; plans that include Text Summarization then start at $19 per month.

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How to Perform Basic Text Analysis without Training Dataset

Analytics Vidhya

The post How to Perform Basic Text Analysis without Training Dataset appeared first on Analytics Vidhya. ArticleVideo Book This article was published as a part of the Data Science Blogathon Overview This article will give you a basic understanding of how.

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Leveraging user-generated social media content with text-mining examples

IBM Journey to AI blog

Text analysis takes it a step farther by focusing on pattern identification across large datasets, producing more quantitative results. Text representation In this stage, you’ll assign the data numerical values so it can be processed by machine learning (ML) algorithms, which will create a predictive model from the training inputs.

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AI Will Smith Eating Spaghetti Hill Haunt You For the Rest of Your Life

Flipboard

Generated by the new Modelscope text-to-video, an algorithmically-generated Will Smith shovels down a bizarro pasta meal. In recent months, advancements in AI-generated media are everywhere: generated “photos” of historical events that never happened, voices that mimic humans closely enough to break …

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Top Predictive Analytics Tools/Platforms (2023)

Marktechpost

It relates to employing algorithms to find and examine data patterns to forecast future events. In a word, artificial intelligence is the general term for machine learning and predictive analytics. Machine learning and deep learning models are two major categories of predictive algorithms.

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Understanding Polarity in Natural Language Processing (NLP)

Lexalytics

One of the most important and most-used functions in text analytics and NLP is sentiment analysis — the process of determining whether a word, phrase, or document is positive, negative, or neutral. Once content has been hand-sorted, we set our algorithms free to learn to differentiate the two.