Text Analytics
(การวิเคราะห์ข้อความ)
Definition
Text Analytics (การวิเคราะห์ข้อความ) Hard Skill
Text Analytics is the process of extracting meaningful information and insights from unstructured text data using computational techniques such as natural language processing, machine learning, and statistical analysis.
Expertise Level
Level 1
Basic
1. Understands the basic concepts of text data and its types.
2. Can perform simple text preprocessing tasks like tokenization and stop-word removal.
3. Familiar with basic text representation methods such as bag-of-words.
Level 2
Intermediate
1. Can apply natural language processing techniques such as stemming and lemmatization.
2. Able to extract features and perform sentiment analysis or topic modeling.
3. Understands different vectorization methods like TF-IDF and word embeddings.
Level 3
Advanced
1. Can build and optimize advanced text analytics models using machine learning and deep learning.
2. Able to design end-to-end text analytics pipelines for complex tasks.
3. Understands and applies techniques for handling nuances in language such as sarcasm and ambiguity.
