Advanced AI-Powered Patent Analysis, NLP Keyword Extraction, and Secure Innovation Tools
Discover a suite of intelligent tools designed to analyze patents, extract statistical keywords, and deliver AI-powered comparisons with maximum accuracy. Our platform combines advanced NLP, secure OpenAI API processing, and client-controlled privacy settings to ensure full protection of your proprietary data. Explore how each product enhances your research efficiency while maintaining complete security.
Secure AI-Powered Patent Analysis
Your trust and privacy are our top priorities.
Any text you enter into our SRF Search area will not be submitted to any AI service including out secure, private OpenAI API unless you select the Third Option in the Settings icon on our main application search screen outlined in red in this screenshot:
When you click this Settings icon, the following selections pop-up appears with three ON/Off buttons. When you first enter our SRF NLP Search & AI Analysis application, these buttons are all OFF and no AI Operations will be performed on either your Input Text or the text of any of your search results.
The First ON/OFF button
The First ON/OFF button, circled in green, enables “Automatic Summarize the Search Results using AI.” We believe this First Option is safe for you to use because your results documents are all “published and publicly available documents” on the Internet. This should be true for our current Google Patents search site and any future search sites we expect to add, such as Google Scholar. Submitting each search result's text to the OpenAI API should not divulge your proprietary Input Text.
The Third ON/OFF button
The Third ON/OFF button circled in RED allows us to submit your Input Text to our secure OpenAI API. This Option is initially set to DO NOT SUBMIT any Input Text to OpenAI or your own AI LLM if you choose to use one (see below). You may turn this button ON only if you trust us to properly set our OpenAI API to keep your Input Text secure, or if your Input Text is protected in a filed Patent Application or Issued Patent.
When this third Option is ON, we will query our secure OpenAI API with your Input Text to get an AI Summary of your Input Text with the full text of each search result. In addition, we also create an AI Summary of your Input Text. This gives you a quick analysis of the similarities between any of your inventive ideas that may also be contained in each results document.
Give our AI Comparison a try! Use one of your patents or applications to see how it works. Just copy and paste the text from the patent's Abstract plus the initial Description down to the Brief Description of Figures into our Search input screen and click search. This click sends your Input Text to our Keywords Extraction process. We then automatically use those top 30 Confidence Value Keywords to perform an automatic Google Patents search and produce an AI Summary of each Search Result's text. Please let us know how your tests of this new SRF NLP Search & AI Analysis work out for you. We particularly want to know about any issues or problems you have at any stage of our processes.
All our features labeled “AI,” such as text AI Summarization of each search result text and AI Comparisons of your Input Text with each Search Result text are processed securely using our OpenAI APIs. For your privacy, OpenAI may temporarily retain data only for abuse detection and monitoring purposes. Importantly, your data is never used to train OpenAI models. Their privacy policies are designed to minimize data retention and prevent any reuse beyond its intended purpose.
If you would like even more control over your AI data processing, you can choose to use your organization's own OpenAI API key and we will submit your text to your OpenAI API. To learn more or set this up, please reach out to our Customer Service using customer.service@searchrealfast.com
Natural Language Processing - NLP – of our Statistical Keyword Extraction
Search Real Fast uses a statistical approach called the Chi-Square-Ratio Test to identify and extract keywords from your input text. Here's how it works.
1. Sentence-Level Analysis
Our Keyword Porcess scans your full input text and identifies each sentence or long, multiword segments to be processed as sentences to compute a Confidence Value a word is an “Important Word.”
2. Important Word Detection
SRF Keyword Detection statistically identifies “important words” which are words that frequently co-occur with other “important words” within the same sentence of your Input Text.
3. Chi-Square-Ratio Confidence Values
Each word is scored based on how statistically significant its co-occurrence is with other words in each sentence. This Chi-Ratio confidence value indicates the statistical significance of each “important word” in your Input Text sentences.
4. Top Keywords Returned
The top 30 “important words” with the highest Chi-Square confidence values are selected and returned as the top 30 primary keywords.
Search Refinement
These 30 Keywords are used for the initial query to Google Patents for relevant patents and patent applications. If submitting all 30 Keywords to a Search site does not return any results, then some of the lowest confidence keywords are removed and the remaining keyword are submitted again. This “lowest score” keyword removal process is repeated until at least one search result is returned.
User Control
All 30 Keywords are shown in the area below your Input Text when you click the square Show Keywords icon. Any keywords NOT used to return the results document listed not highlighted. You may click on a Keyword to deselect or reselect some of the Keywords. Then click the Search button gain to see which keywords significantly change the number of research results.
Comprehensive Reports
When a user clicks the “Download Analysis” button, the browser will create a PDF document with the following information for each Search Results document where the “Save” button is ON (indicated by a green button):
- An Executive Summary page that summarizes the number of Key Findings, the Research Statistics, and the length of days this project has been active with the total number of actions recorded.
- Each saved patent document number as an embedded link to that Google Patent's web page for this document.
- The “AI Summary” for this search result's full text.
- The “AI Comparison” if turned on, of the user's Input Text with this search result's full text.
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