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Creating a Movie Reviews Classifier Using TF-IDF in Python

Analytics Vidhya

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.

Python 356
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Understand Text Mining Using No Code Tool Orange

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. 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.

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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? AssemblyAI is a company that is making a state of the art speech to text API.

NLP 256
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Exploring the AI and data capabilities of watsonx

IBM Journey to AI blog

By supporting open-source frameworks and tools for code-based, automated and visual data science capabilities — all in a secure, trusted studio environment — we’re already seeing excitement from companies ready to use both foundation models and machine learning to accomplish key tasks.

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

IBM Journey to AI blog

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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Top Predictive Analytics Tools/Platforms (2023)

Marktechpost

Using causal graphs, LIME, Shapley, and the decision tree surrogate approach, the organization also provides various features to make it easier to develop explainability into predictive analytics models. IBM Watson Studio Since its founding in 1975, SPSS has developed into one of the leading statistical and analytics programs.

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NLP Landscape: Switzerland

NLP People

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.

NLP 52