Analytics Vidhya

SEPTEMBER 6, 2021

This article was published as a part of the Data Science Blogathon Introduction Natural Language Processing has many applications these days. An important application of Natural Language Processing is text classification and text analytics.

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NLP People

APRIL 10, 2019

Natural Language Processing has seen some major breakthroughs in the past years; with the rise of Artificial Intelligence, the attempt at teaching machines to master human language is becoming an increasingly popular field in academia and industry all over the world. University of St. Gallen The University of St.

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SAS Software

SEPTEMBER 6, 2024

The post Three ways NLP can be used to identify LLM-related private data leakage and reduce risk appeared first on SAS Blogs. We often hear about cyberattacks, hackers, ransomware, and other nefarious deeds in the news, but not all data breaches are caused by third parties.

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ODSC - Open Data Science

MAY 24, 2023

Generative NLP Models in Customer Service: Evaluating Them, Challenges, and Lessons Learned in Banking Editor’s note: The authors are speakers for ODSC Europe this June. Be sure to check out their talk, “ Generative NLP models in customer service. How to evaluate them?

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NLP People

DECEMBER 8, 2017

Are you looking to study or work in the field of NLP? For this series, NLP People will be taking a closer look at the NLP education landscape in different parts of the world, including the best sites for job-seekers and where you can go for the leading NLP-related education programs on offer.

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Unite.AI

FEBRUARY 19, 2024

For example, by leveraging Natural Language Processing (NLP) and text analytics, OCR can proficiently scan and transform handwritten or printed documents, such as prescription labels, patient forms, doctor's notes, and lab results, into digital format.

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Flipboard

JULY 10, 2023

Unstructured text and data are like gold for business applications and the company bottom line, but where to start? Here are three tools worth a look.

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NLP People

MAY 18, 2018

Are you looking to study or work in the field of NLP? For this series, NLP People will be taking a closer look at the NLP education & development landscape in different parts of the world, including the best sites for job-seekers and where you can go for the leading NLP-related education programs on offer.

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Lexalytics

SEPTEMBER 9, 2021

For nearly two decades, Lexalytics has been a pioneer in structured and unstructured data analytics, translating text into profitable decisions with our natural language processing (NLP), machine learning (ML), and artificial intelligence (AI) solutions for the world’s most customer-centric brands.

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IBM Journey to AI blog

JULY 17, 2023

These encoder-only architecture models are fast and effective for many enterprise NLP tasks, such as classifying customer feedback and extracting information from large documents. Encoder-decoder and decoder-only large language models are available in the Prompt Lab today. To bridge the tuning gap, watsonx.ai

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LevelAI

FEBRUARY 5, 2024

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.

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IBM Journey to AI blog

AUGUST 28, 2023

One of the best ways to take advantage of social media data is to implement text-mining programs that streamline the process. What is text mining? This valuable information helps decision-makers refine marketing strategies, improve product offerings and deliver a more personalized customer experience.

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ODSC - Open Data Science

OCTOBER 23, 2023

The Rise of Large Language Models One of the biggest themes you’ll see at ODSC West this year is the focus on LLMs, generative AI, and prompt engineering. Traditionally, our NLP track has focused on the usual aspects of NLP, such as text analytics and sentiment analysis.

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ODSC - Open Data Science

MAY 9, 2024

Trending Large Language Models DBRX This model hopes to shake the world of large language models by setting a new standard for enterprise-grade natural language processing. Its key features include open-source accessibility, scalability, and seamless integration with the popular Databricks platform.

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Chatbots Life

MARCH 16, 2023

Text analytics Text analytics is another data collection method that has gained popularity over the last few years due to advances in machine learning algorithms and extensive data processing capabilities.

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Pickl AI

JULY 20, 2023

5. Text Analytics and Natural Language Processing (NLP) Projects: These projects involve analyzing unstructured text data, such as customer reviews, social media posts, emails, and news articles. NLP techniques help extract insights, sentiment analysis, and topic modeling from text data.

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Pickl AI

AUGUST 1, 2023

Introduction to Applied Text Mining in Python Before going ahead, it is important to understand, What is Text Mining in Python? Text mining is also known as text analytics or Natural Language Processing (NLP). What is text mining in NLP?

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Pickl AI

JULY 23, 2023

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.

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DataRobot Blog

MARCH 9, 2022

This is one of the reasons why detecting sentiment from natural language (NLP or natural language processing ) is a surprisingly complex task. It could be anything from a sentence to a paragraph to a longer-form collection of text. We use the term “document” loosely.)

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Lexalytics

APRIL 5, 2021

Fast-forward a couple of decades: I was (and still am) working at Lexalytics, a text-analytics company that has a comprehensive NLP stack developed over many years. This is the sort of representation that is useful for natural language processing. I was out of the neural net biz. and BERT.

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SAS Software

AUGUST 6, 2024

When using LLMs, managing toxicity, bias, and bad actors is critical for trustworthy outcomes. Let’s explore what organizations should be thinking about when addressing these important areas. The post Toxicity, bias, and bad actors: three things to think about when using LLMs appeared first on SAS Blogs.

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Explosion

FEBRUARY 14, 2016

If you were doing text analytics in 2015, you were probably using word2vec. For automatic natural language processing, it’s often more effective to use dictionaries that define concepts in terms of their usage statistics. Here’s how the current pre-processing function looks, at the time of writing.

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