New OnPage SEO Function - Need Feedback

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  • edited June 30
    CompaniesKaine said:
    ... I don't know how this could be approached, it would take semantic dictionaries and some sort of AI to do the job as a search engine...
    So you plug in two text corpus and calculate a similarity score between them, ranging from 0 to 1. This can be approached with NLP (Natural Language Processing). Like a "Bert" Model (https://en.wikipedia.org/wiki/BERT_(language_model) trained on a special loss function with some specifications. If you have any needs to get AI going for SEO needs, iam happy for ideas and a team up for launching a service like an API, for example on https://rapidapi.com/

    If Sven is interested in lifting up the captchabreaker game to AI level, i could help too. Its a combination of CNN  (Convolutional Neural Networks) and RNN (Recurrent Neural Networks) networks, setted up behind as AI component. The user only needs to collect enough samples with labels (annotations) ~50-100 per Captchatype and press a button. A new net would automatically be trained on the camptcha type with high accurracy even on hard captchas. Sven wouldn't implement a python interpreter in the GSA products, so i think the only way to go is microservice approach via api. 
  • KaineKaine thebestindexer.com
    edited July 2
    Hello @TOPtActics :) ,
    The idea seems nice after I still need to know how to achieve it.
    I was talking about semantic dictionaries because it would have been possible to find (by correspondence) the dictionary that would have the most similarity with a text and therefore to know what it is talking about.
    I do not know if this corresponds with the initial request but the interests would be multiple and appropriate for a software like Gsa Content Generator for example.
    For GSA Keyword Research, this could make it possible to create a semantic graph which could be useful for the realization of a silo, or the study of the tree structure of a site.

    Semantic Cocoon:


    Some interesting links:
    https://gephi.org/
    https://medialab.sciencespo.fr/en/tools/navicrawler/
  • SvenSven www.GSA-Online.de
    Latest update will create reports in HTML with all kinds of data that your SEO customers might need/want.
    It's not perfect but slowly getting there. Let me know what you think.

    Thanked by 1Kaine
  • Kaine said:
    Hello @TOPtActics :) ,
    The idea seems nice after I still need to know how to achieve it.
    I was talking about semantic dictionaries because it would have been possible to find (by correspondence) the dictionary that would have the most similarity with a text and therefore to know what it is talking about.
    I do not know if this corresponds with the initial request but the interests would be multiple and appropriate for a software like Gsa Content Generator for example.
    For GSA Keyword Research, this could make it possible to create a semantic graph which could be useful for the realization of a silo, or the study of the tree structure of a site.

    Semantic Cocoon:
    ...
    Hi Kaine, 

    my suggestion would be to go with a similarity score from a BERT model between all Corpuses (corpus = the content from a page for example) and to know what the corpus is talking about, do a topic modelling (https://en.wikipedia.org/wiki/Topic_model) for every corpus, too.

    If there is interest in building such an API or a implementation, let me know.


  • edited July 3
    Kaine said:
    ...
    Some interesting links:
    https://gephi.org/
    ...
    Nice tool, this could be done too. BERT or every Neural network has a n-dimensional (n can be choosen) representation in the middle of the network. This n dimensions can be reduced with dimensionality reduction algos like t-SNE or PCA to get a 2-dimensional representation of an input e.g. a word for graphical analysis. The distance in this 2-D space or in the n-D space has a meaning. If you calculate eucledean distances or manhatten distance or any L-Norm in this space, you can interpret this as a word "meaning" distance. Similar words stand next to each other.
  • KaineKaine thebestindexer.com
    edited July 4
    Sven said:
    Latest update will create reports in HTML with all kinds of data that your SEO customers might need/want.
    It's not perfect but slowly getting there. Let me know what you think.


    It still adds value but I don't think I would use it in the short term. It is rather the "Keywords/Content" aspect that attracts me to this software.
    I take this opportunity to respond to @TOPtActics since it comes together, all that relates to content, to its understanding, its optimization and even its generation is the most vital sector of present and future SEO and deserves each search going in this direction. The more Search Engine will develop their AI, the more our content will be flawless. Since I launched our indexing service, I have seen tons of different strategies and I think I can tell you that the age of the spinned text should soon come to an end. The detection is much better since the last update.
    You will therefore have to adapt, write your own texts or have this part outsourced by writers if something new does not happen quickly enough.
  • SvenSven www.GSA-Online.de
    edited July 7
    Latest update also includes keyword suggestions.

    Thanked by 1Kaine
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