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Unleashing the Power of Applied Text Mining in Python: Revolutionize Your Data Analysis

Pickl AI

Thus, enabling quantitative analysis and data-driven decision-making. Understanding Unstructured Data Unstructured data refers to data that does not have a predefined format or organization. It includes text documents, social media posts, customer reviews, emails, and more. Consequently, it boosts decision-making.

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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? These are two common methods for text representation: Bag-of-words (BoW): BoW represents text as a collection of unique words in a text document.

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Elevating business decisions from gut feelings to data-driven excellence

Dataconomy

At its core, decision intelligence involves collecting and integrating relevant data from various sources, such as databases, text documents, and APIs. This data is then analyzed using statistical methods, machine learning algorithms, and data mining techniques to uncover meaningful patterns and relationships.

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Text Classification Using Machine Learning Algorithm in R

Heartbeat

Text Categorization Text categorization is a machine-learning approach that divides the text into specific categories based on its content. The goal is to automatically classify documents based on the textual information contained within them. Data mining, text classification, and information retrieval are just a few applications.

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Basic Data Science Terms Every Data Analyst Should Know

Pickl AI

Summary : This article equips Data Analysts with a solid foundation of key Data Science terms, from A to Z. Introduction In the rapidly evolving field of Data Science, understanding key terminology is crucial for Data Analysts to communicate effectively, collaborate effectively, and drive data-driven projects.

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Artificial Intelligence Using Python: A Comprehensive Guide

Pickl AI

Jupyter notebooks allow you to create and share live code, equations, visualisations, and narrative text documents. Jupyter notebooks are widely used in AI for prototyping, data visualisation, and collaborative work. Their interactive nature makes them suitable for experimenting with AI algorithms and analysing data.

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How to Choose MLOps Tools: In-Depth Guide for 2024

DagsHub

Scikit-learn Scikit-learn is a machine learning library in Python that is majorly used for data mining and data analysis. Scikit-learn provides a consistent API for training and using machine learning models, making it easy to experiment with different algorithms and techniques.