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  2. Text datasets form the foundation of natural language processing (NLP) and text-based machine learning projects. They provide the raw material for training models to understand and interpret human language, perform sentiment analysis, text classification, named entity recognition, machine translation, and much more.

    The Ultimate Guide to Text Datasets for Machine Learning ... - Me…

    medium.com/@Gts.AI/the-ultimate-guide-to-text-datasets-for-machine-learning-practitioners-a3739fa96e2e
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  3. People also ask
    Where can text analytics be used?
    Applications of text analytics are far and wide, and can be applied anywhere where text-based data exists. Whether it’s customer feedback, phone transcripts or lengthy feedback surveys, text analytics helps teams make quantitative and qualitative sense from text data with relative ease.

    A Guide: Text Analysis, Text Analytics & Text Mining

    towardsdatascience.com
    Is it viable to work with text data in machine learning?
    Well, to answer that question, it is viable. Working with text data in machine learning falls under the field of natural language processing (NLP), which is a field devoted to algorithms and methods for processing human languages for computers.

    Working With Text Data In Machine Learning - Medium

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    Where does text data come from?
    Text data comes from almost every interaction you have, whether it's a Tweet, support ticket, survey response, Slack message, Google search, or Facebook post. It's everywhere, and it's one of the most valuable data sources you have at your disposal. Here are some benefits of text analysis. 1. Understand your customers better

    7 Examples of Text Analysis for Better Data Insights - Akkio

    akkio.com
    What is text data in machine learning?
    Working with text data in machine learning falls under the field of natural language processing (NLP), which is a field devoted to algorithms and methods for processing human languages for computers. Some examples of machine learning applications using NLP include topic modeling, language translation, and sentiment analysis.

    Working With Text Data In Machine Learning - Medium

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  4. pandas
    https://pandas.pydata.org/pandas-docs/stable/user_guide/text.html

    Working with text data — pandas 2.2.2 documentation

    • Categorical Data

      Categorical data#. This is an introduction to pandas categorical data type, including …

    • Working With Missing Data

      Working with missing data# Values considered “missing”# pandas uses …

     
  5. scikit-learn
    https://scikit-learn.org/1.4/tutorial/text...

    Working With Text Data — scikit-learn 1.4.2 documentation

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  7. DataCamp
    https://www.datacamp.com/cheat-sheet/text …

    Text Data In Python Cheat Sheet | DataCamp

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     · Dec 14, 2022 · Our cheat sheet for working with text data in Python is the ultimate resource for Python users who need to clean, …

    • Towards Data Science
      https://towardsdatascience.com/a-guide-text...

      A Guide: Text Analysis, Text Analytics & Text Mining

      WEBOct 21, 2020 · Text analysis helps businesses analyse huge quantities of text-based data in a scalable, consistent and unbiased manner. Without the need for excessive resources, it analyses data and extracts valuable …

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    • GeeksForGeeks
      https://www.geeksforgeeks.org/python-pandas-working-with-text-data

      Python | Pandas Working With Text Data - GeeksforGeeks

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    • Analytics Vidhya
      https://www.analyticsvidhya.com/blog/2018/0…

      Ultimate Guide To Deal With Text Data - Analytics Vidhya

      WEBFeb 27, 2018 · Ultimate guide to deal with Text Data (using Python) – for Data Scientists and Engineers. Shubham.jain Jain 23 Dec, 2020. 12 min read. Introduction. One of the biggest breakthroughs required for …

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    • Andreas C. Müller
      https://amueller.github.io/.../13-text-data.html

      Working with Text data — Applied Machine Learning in …

      WEBWorking with Text data¶ Today, we’ll talk about working with text data. FIXME CountVectorizer in Column transformer is weird, no list, just string. Example of combining text and non-text features. FIXME explain L2 …

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      Working with Text Data in Python
    • Machine Learning Mastery
      https://machinelearningmastery.com/prepar…

      How to Encode Text Data for Machine Learning with …

      WEBText data requires special preparation before you can start using it for predictive modeling. The text must be parsed to remove words, called tokenization. Then the words need to be encoded as integers or …

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    • Medium
      https://medium.com/@Gts.AI/the-ultimate-guide-to...

      The Ultimate Guide to Text Datasets for Machine …

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      Text Datasets For Machine Learning
    • Google Colab
      https://colab.research.google.com/github/datacamp/...

      Working with Text Data in Python

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      https://www.datacamp.com/cheat-sheet/text …

      Text Data In R Cheat Sheet | DataCamp

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       · Welcome to our cheat sheet for working with text data in R! If you're an R user who needs to clean, process, or analyze text data, then this resource is for you. We've compiled a list of common functions and …

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      Cheat sheet
    • Lightning AI
      https://lightning.ai/.../8.1-working-with-text-data

      8.1 Working with Text Data - Lightning AI

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    • Towards Data Science
      https://towardsdatascience.com/working-with-text...

      Working with Text Data — From Quality to Quantity

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    • Medium
      https://medium.com/hamoye-blogs/working-with-text...

      Working With Text Data In Machine Learning - Medium

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      Mastering String Manipulation in Python: A Practical Guide

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    • CareerFoundry
      https://careerfoundry.com/en/blog/data-analytics/text-analysis

      What is Text Analysis? A Simple Guide for Data Analysts

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    • O'Reilly Media
      https://www.oreilly.com/library/view/introduction...

      7. Working with Text Data - Introduction to Machine Learning with ...

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    • scikit-learn
      https://scikit-learn.org/stable/auto_examples/text/...

      Clustering text documents using k-means - scikit-learn

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    • Akkio
      https://www.akkio.com/post/7-examples-of-text...

      7 Examples of Text Analysis for Better Data Insights - Akkio

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      Big Data Text Analysis
    • TutorialsPoint
      https://www.tutorialspoint.com/python_pandas/python...

      Python Pandas - Working with Text Data - Online Tutorials Library

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    • GeeksForGeeks
      https://www.geeksforgeeks.org/working-with-text-in-r

      Working with Text in R - GeeksforGeeks

    • How-To Geek
      https://www.howtogeek.com/791554/excel-functions-for-text

      9 Useful Microsoft Excel Functions for Working With Text - How …

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    • Microsoft Support
      https://support.microsoft.com/en-us/topic/...

      Introducing Text Insights in Excel - Microsoft Support

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    • Statistics Canada
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      The Daily — Labour Force Survey, July 2024 - Statistics Canada

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      How can health systems approach reducing health inequalities?

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    • pandas
      https://pandas.pydata.org/pandas-docs/version/1.5/user_guide/text.html

      Working with text data — pandas 1.5.2 documentation

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      Object Dtype
    • Office for National Statistics
      https://www.ons.gov.uk/employmentandlabourmarket/...

      Labour market overview, UK - Office for National Statistics

    • Next.js by Vercel
      https://nextjs.org/docs/app/building-your-application/data-fetching/fetching

      Data Fetching: Fetching | Next.js

    • GALA Global
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      Boostlingo Ranks No. 839 on the 2024 Inc. 5000 | GALA Global

    • MDPI
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      Sustainability | Free Full-Text | Environmental Penalties, Internal …

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