ستساعدك المقالة التالية: ما هي معالجة اللغة الطبيعية (NLP)؟
ما هي معالجة اللغة الطبيعية (NLP)؟ [+Techniques]
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“text”: “Natural language is just what you might think it is — it’s the way we speak naturally. Lately, Google has gotten really good at understanding websites in a way that it never has before.”
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“@type”: “Question”,
“name”: “How does natural language processing work?”,
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If you’re still confused about how NLP works, don’t worry. You’re not alone!
Let’s talk about what’s going on behind the scenes when it comes to NLP. Specifically, it’s important to understand these five aspects of NLP.
1. Syntax analysis
When it comes to the capabilities of NLP, get ready to have your socks blown off. With the help of big data, NLP has the capability to analyze the syntax of a page to understand things like sentence content and the context of your phrasing. Not only that, but it’s able to determine whether or not a piece of content is well written — from a topic standpoint as well as a grammar standpoint.
In the early days of Google, search engines relied on the use of keywords to determine exactly what a page was about. However, keyword stuffing was a huge issue, as well as some unfavorable black-hat SEO techniques that relied on keyword usage to get business to the top of search results. Without things like syntax analysis, which is now available through NLP, users could throw any keyword on a page in hopes of ranking for it — even if the content topic had nothing to do with the keyword.
But now, nothing gets past Google, and the syntax analysis department of NLP makes it harder to implement black-hat SEO tactics on your site and rank. This is super encouraging, especially if you’ve watched your black-hat counterpart outrank you for years!
2. Sentiment analysis
There’s a lot of “analysis” going on with NLP, and rightfully so — it’s the analysis that makes the results so astounding. Sentiment analysis has to do with understanding the feeling of the content. Is the tone of the piece positive or negative?
Not only that, though. The sentiment analysis capabilities of NLP beg for emotion — and it’s crucial that content creators focus solely on creating content for the user — not for search engines. This doesn’t mean that you should ignore ranking factors, though.
That said, it’s still important to implement target keywords and have a clean HTML code in order to rank highly in search. In the past, creating content for search engines, with tons of target keywords was enough to get you ranking, but sentiment analysis is just one of the reasons you’re going to have to work a little harder to connect with your audience in order to rank.
3. Content categorization
NLP also opens the door for content categorization. That means that search engines like Google will be able to tell the difference between a piece of content about art and a piece of content about baking. Not to mention, it will be able to categorize content without the writer having to say up-front what the piece is about.
It’s just that smart.
4. Entity recognition
Remember how big of a priority it was to ensure that you had the correct alt text to go with your images? NLP’s entity recognition, with the help of big data, is starting to understand images and videos sans alt text. What does that mean for marketers?
Well, it means that we can no longer pull an image of a bearded man with a cup of coffee to describe just about anything. It’s important that we include images that actually mean something to the context of the page — because NLP will know if a picture doesn’t support the content. Until NLP is fully recognized, it’s best to keep adding alt text to your images — for now.
5. Multiple language support
Do you utilize different languages on your website? If so, you won’t have to worry about Google understanding your content — no matter what language you’re using on your site. That means you won’t have to utilize any transcriptions on your page, but rather focus on delivering the best content for your users, regardless of language.
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