Text-Data Data Science Task

A Text-Data Data Science Task is a data science task for text data-based systems.

• AKA: Data Science Task for Text Data-based Systems.
• Context:
  • It can (often) involve the analysis, processing, and interpretation of Text Data.
  • It can (often) be mentioned in a Text-Data Data Scientist JD.
  • It can include tasks such as Text Mining, Text Analytics, Sentiment Analysis, Topic Modeling, and Entity Recognition.
  • It can involve applying Machine Learning Algorithms and Natural Language Processing (NLP) Techniques to extract insights from text.
  • It can involve working with large datasets of unstructured text data and integrating text data analysis with other data types for comprehensive insights.
  • It can require collaboration with Subject Matter Experts to interpret textual data correctly.
  • It can involve Data Preprocessing tasks specific to text data, such as tokenization, stemming, and lemmatization.
  • It can include the creation of Text Data Visualizations to understand data patterns better.
  • It can involve working with large datasets of unstructured text data.
  • It can require integrating text data analysis with other data types for comprehensive insights.
  • ...
• Example(s):
  • Analyzing customer reviews to determine overall sentiment towards a product or service.
  • Extracting key themes from a large collection of research papers.
  • Developing a Text Classification System to automatically categorize customer queries for response prioritization.
  • a GenAI Text Data Science Task.
  • ...
• Counter-Example(s):
  • A Quantitative Data Analysis Task focused solely on numerical data.
  • A Database Development Task that involves designing and managing databases but does not involve text data analysis.
• See: Data Science, Text Mining, Natural Language Processing, Data Visualization.

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References

2024

• (Bard, 2024) ⇒ Bard. (2024). "Role and Responsibilities of a GenAI NLP Engineer.”
  • While the focus of a GenAI NLP Engineer Task is on the engineering and development of generative AI NLP-based systems, a Text-Data Data Science Task is more broadly concerned with the extraction of insights and knowledge from text data. This task encompasses various techniques and methodologies from data science and NLP to analyze,