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Text Analytics of Resume Dataset with NLP!

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction We all have made our resumes at some point in. The post Text Analytics of Resume Dataset with NLP! appeared first on Analytics Vidhya.

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

AssemblyAI

In Natural Language Processing (NLP), Text Summarization models automatically shorten documents, papers, podcasts, videos, and more into their most important soundbites. What is Text Summarization for NLP? Josh Seiden is a product consultant and author who has just released a book called Outcomes Over Output.

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How to Perform Basic Text Analysis without Training Dataset

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. The post How to Perform Basic Text Analysis without Training Dataset appeared first on Analytics Vidhya.

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Real-world usage of LLMs in Journalism

Ehud Reiter

Incidentally, the lead author of the report, Diakopoulos , also edits a very interesting blog on generative AI in journalism , and wrote a book in 2019 on Automating the News. Obviously this kind of thing is still very important, but nice to see that the NLG usage is now the most common!

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Data Demystified: What Exactly is Data?- 4 Types of Analytics

Pickl AI

Text Analytics (Natural Language Processing) Text analytics, also known as natural language processing (NLP), involves extracting valuable information and insights from unstructured text data, such as customer reviews, social media posts, or survey responses. To know more about Pickl.AI

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How Sentiment Analysis Keeps Your Brand in Check (and How to Get Started)

Kavita Ganesan

They combined insights from an independent off-the-shelf text analytics tool such as Netbase (extremely pricey, by the way) with custom-built pipelines for a complete market research analysis. Recommeded Reading 7 NLP Applications in Business List of Common AI Problem Types in Business This is what one of my clients did.

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Dude, Where’s My Neural Net? An Informal and Slightly Personal History

Lexalytics

Apparently, Rosenblatt overhyped his work, or at the very least annoyed Marvin Minsky and Seymour Papert, who wrote a book that emphasized negative results about perceptrons [ 5 ]. As with ULMFiT and ELMo, these contextual word vectors could be incorporated into any NLP application. I was out of the neural net biz. and BERT.