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Topic Model Using Bert

Topic Model Using Bert

BERT stands for Bidirectional Encoder Representations from Transformers.

It is Google’s neural network-based technique for natural language processing (NLP) pre-training. BERT helps to better understand what you’re actually looking for when you enter a search query. BERT can help computers understand language a bit more like humans do. BERT helps better understand the nuances and context of words in searches and better match those queries with more relevant results. It is also used for featured snippets

In machine learning and natural language processing a topic model is a type of statistical model for discovering the abstract “topics” that occur in a collection of documents. Topic modelling is a frequently used text-mining tool for discovery of hidden semantic structures in a text body. LDA is also a topic model.

URL:https://mybettingdeals.com/online-casinos/

Principles of Mechanism

Here we take competitors keywords and landing page keywords then find which keywords are common between landing page and competitors keywords.

I have taken competitors to collect words

CESARCASINO
SLOTSUP
Similar Words Words Between Competitors and Landing Page

Applied Semantic

Using Code

This is called package which will help to scrap the website & run the program.

  1. Scrap the website

Output

Before using BERT- keyword rank

keyword rank is in “NA”  of the Google rank.

After using BERT- keyword rank

We can see that rank is increases and came in the first page of the google rank.

d

Always in the right

Marketing for Everyone

Google only loves you when everyone else loves you first

My rule of thumb is build a site for a user, not a spider

What gets measured gets improved

The best place to hide a flower is the second page of Google search

Better content is outweighing more content

Make your business successfully

Choose your production

Facing the Challenges

Getting You Prepared for Year

  • Whitepapers

    TF-IDF stands for Term Frequency-Inverse Document frequency. The tf-idf weight in often used to indicate a keyword’s relevance of a particular URL: https://mybettingdeals.com/glossary/b/betpoint-group-limited/

  • Topic Model Using Bert

    Whitepapers

    BERT stands for Bidirectional Encoder Representations from Transformers. It is Google’s neural network-based technique for natural language processing (NLP) pre-training. BERT helps to better understand what

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