Natural Language Processing

1. What is Natural Language Processing?

Natural language processing(NLP) is a technique that trains machines to speak like humans. Machines structuralize information from words and sentences they hear and then search and provide necessary information to users. In other words, it enables machines to recognize and analyze human language, and this technology is being developed and applied in many different industries recently.

2. Examples of Natural Language Processing

 ✓ Health
NLP models recognize and predict diseases based on electronic health records and patient voices.

✓ Business
NLP models identify and extract information from social media services to determine what customers say about a service or product through sentiment analysis.

✓ Finance
NLP models analyze news, papers, and opinions on possible mergers between companies and make investment decisions.

3. Steps in Natural Language Processing

- Lexical Analysis
Lexical analysis is the first step in the natural language processing process. In this step, the input text is broken down into paragraphs, sentences, and words to understand the structure of the text.

- Syntactic Analysis
Syntactic Analysis separates a string into basic morphemes and identifies the grammatical relationship between words. For example, sentences like "School goes to me" are classified as grammatically incorrect at this stage.

- Semantic Analysis
Semantic analysis is a step to understand the context of the text by interpreting the meaning of each word based on the analysis results made in the syntax analysis. For example, sentences like "hot ice cream" are classified as false sentences that make no sense in the context at this stage.

- Discourse Integration
In this step, the relationship between sentences is analyzed. Understanding of how the meaning of each sentence can change depending on the previous sentence is also developed.

- Pragmatic Analysis
Pragmatic analysis is the final step in natural language processing where the actual meaning of each sentence are identified. This step requires knowledge about how each sentence is used in real life.

4. Natural Language Processing with CLICK AI

CLICK AI provides codeless artificial intelligence model development experience for users. With a just few clicks, users can develop NLP models at a professional level through the automated process. The following is an example of NLP model development using CLICK AI.


When the development is complete, you can conduct sentiment analysis for different sentences. The above image is an example of sentiment analysis for an online shopping review. The result ranges from 1(very bad) to 5(very good). The input review is displayed on the left, and the analysis result of 5(verygood) is shown on the right. 

You can start developing a NLP model by clicking 'Develop AI' from CLICK AI's main page. More information about NLP model development is available at 자연어 처리.


References
https://www.tutorialspoint.com/artificial_intelligence/artificial_intelligence_natural_language_processing.htm
https://towardsdatascience.com/your-guide-to-natural-language-processing-nlp-48ea2511f6e1

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