Natural Language Processing For Supports SEO

Have you ever heard the term natural language processing or NLP? This technology in the form of a computer program has been widely used in many aspects to facilitate business processes. This artificial intelligence combines machine learning and deep learning technologies in its program.

So, what is served by NLP technology? What are the benefits that you can feel when applying it to your business processes, especially SEO? Let’s learn more about this natural language processing together!

Table of Contents

• Get to know Natural Language Processing
• How Natural Language Processing Works
• Challenges in Using Natural Language Processing
• NLP and SEO
• How NLP Supports SEO
• Conclusion

Get to know Natural Language Processing

NLP or natural language processing refers to a branch of artificial intelligence that is closely related to the ability of computers to understand the text and human speech. In addition to understanding, this technology can also help your computer in interpreting human language.

NLP combines computational linguistics which is a model of human language with statistical models. NLP also involves a mix of machine learning and deep learning. This technology allows the algorithm to process human language in the form of text and sound to understand its meaning.

In addition, NLP can also drive a computer to translate a text from one language to another. NLP can also respond to spoken commands as well as summarize large amounts of text quickly.

In the business aspect, this technology can help your business to increase employee productivity, simplify business processes, and so on.

Not only useful in the field of language or linguistics, but NLP can also be useful in the field of health, search engine optimization, as well as activities, or business processes. This program that combines artificial intelligence, human language, and computers can affect SEO in changing search engine algorithms, especially Google. To apply NLP to your SEO efforts, you must first understand what BERT or Bidirectional Encoder Representations from Transformers are.

Why do SEO efforts need this one artificial intelligence technology? Because, over time, searches by users also tend to change. Google’s algorithm as a search engine also adapts it by focusing on searches using natural conversations. That’s where NLP comes into play, helping you to avoid the kind of language clutter that refers to unstructured data.

How Natural Language Processing Works

Natural language processing gives computers access to understand natural language like humans. This language can be spoken or written. Language processing uses artificial intelligence to take input data. In doing input, there are special programs that carry out the process according to their respective duties.

There is a process that must be done before stepping into data processing. Data cleaning and preparation are some of them. For the machine to quickly perform the analysis, it is necessary to prepare and clean the data.

The steps in the process include tokenization, stopping word deletion, and tagging part of speech. In addition, the application of NLP is also useful for detecting spam, as a machine translator, chatbot, summarizing text, or conducting social media analysis.

Challenges in Using Natural Language Processing

It is no stranger that in every process towards something there must be challenges in achieving it. In the natural language processing process, the same thing often happens. The following points are some of the challenges that you may face in implementing NLP.

1. The first challenge you may face when implementing NLP is the level of precision of the language itself. Not infrequently human speech is often inaccurate, creates ambiguity, and has a complicated linguistic structure. The problem of linguistic structure can lead to many complex variables in language variations such as slang, and different dialects of each region, also based on social context.
2. The second challenge relates to the pitch of the voice as well as its inflection. To process natural language, NLP may not be perfect doing so because analysis related to linguistic aspects such as semantic analysis sometimes becomes a real challenge. As an example of sarcasm, in some cases, people who are listeners find it difficult to distinguish how or what the characteristics of people say sarcasm. In addition, the tone of voice also determines the meaning of a speech. Accent variations are also a challenge in terms of tone of voice.
3. The third challenge is related to the development of using language. Humans as natural language speakers are also sometimes faced with similar challenges over time. The way can also change according to the times. The system or algorithm of NLP finds it a challenge.

NLP and SEO

You have many options when it comes to search engine optimization or the SEO process. There are many aspects that you can practice to achieve maximum results. In addition, you are also free to choose which strategy is more suitable for your business pattern in producing and sharing content and determining rankings. As with other strategies, you can also make NLP an option in helping SEO efforts.

Referring to Milos Krasinski’s statement on the Oncrawl page SEO can achieve success starting from data. As explained earlier, NLP can help you in processing data according to your needs.

How NLP Supports SEO

So, how does NLP support SEO search engine optimization efforts?

1. NLP can help you describe your content to search engines. In addition to NLP, users, consumers, and an organization can also help in this regard.
2. NLP can build internal links and help users find content. It is no stranger that internal links are a component of SEO efforts. In addition, NLP also helps you evaluate the effectiveness of the user experience when visiting your website.
3. Providing recommendations and content suggestions to users is also one of the ways NLP helps search engine optimization efforts. The existing recommendations can help in increasing the waiting time of the users.
4. Topic targeting just got easier with NLP. Along with the development of search engine algorithms, search engines are now better able to understand the search intentions of users. Therefore, the competition has shifted from what was originally based on keywords to the relevance of the topic you present in a piece of content.
5. Helping in dealing with 404 errors also performs smart redirects. This is so that users can easily find the actual web page they want to visit to obtain certain information.

Conclusion

Indeed, NLP technology has been introduced since the 1950s. At that time, it was possible that NLP’s ability to interpret could not be developed so that it was possible to help support certain efforts such as search engine optimization. Along with the development of technology, now you can easily take advantage of this one technology in SEO efforts. Understand how NLP works in depth so that you can maximize results in improving or optimizing efforts.

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