**AN OVERBROAD PATENT ON performing frequency analysis on the occurrence of target words in a stream of words** - This application from [Citizennet](http://citizennet.com/) seeks to patent the idea of...Generating a discrete time sequence of counts for a target word, performing frequency analysis of the generated discrete time sequence, and determining that the target keyword is a trending keyword based on the frequency analysis! 10 minutes of your time can help narrow US patent applications before they become patents. [Follow @askpatents](https://twitter.com/AskPatents) on twitter to help.

**QUESTION** - Have you seen anything that was **published before 8/7/2011** that discusses:

> 
> * Detecting trends from a stream of words based on frequency analysis of word counts
> 
> 
> 

If so, please submit evidence of prior art as an answer to this question. We welcome multiple answers from the same individual.

**EXTRA CREDIT** - Streams of words are taken from **word sources** such as **news stories**, tweets, posts on **social networking sites**, or **blog entries**.

**TITLE: Determine whether a target word is a trending keyword based on frequency analysis of discrete time sequence of counts for the target word**

**Summary**: [Translated from Legalese into English] Generating a discrete time sequence of counts for a target word from a stream of words, performing frequency analysis of the generated discrete time sequence to determine contributions of frequency components within different frequency ranges, and determining that the target keyword is a trending keyword based on the frequency analysis.

* **Publication Number**: [US 20130036107 A1](http://www.google.com/patents/US20130036107)
* **Application Number**: US 13/568,851
* **Assignee**: Citizennet
* **Prior Art Date**: Seeking prior Art **predating** 8/7/2011
* **Link to Google Prior Art Search** - ["Find Prior Art"](https://www.google.com/patents/related/US20130036107#c=0&d1&d2=08%2F07%2F2011)

**Claim 1** requires each and every step below:

> 
> A method for trend detection, comprising:
> 
> 
> 1. Generating a discrete time sequence of word counts for a target word using a trend detection device;
> 2. Performing frequency analysis of the discrete time sequence of word counts to determine contributions of frequency components within different frequency ranges to the discrete time sequence of word counts using the trend detection device; and
> 3. Detecting that the target word is a trending keyword based upon at least the frequency analysis of the discrete time sequence of word counts for the target word using the trend detection device.
> 
> 
> 

In English this means:

> 
> A method for trend detection, comprising:
> 
> 
> 1. Generating a discrete time sequence of counts for a target word;
> 2. Performing frequency analysis of the generated discrete time sequence to measure frequency of target word counts within different frequency ranges; and
> 3. Detecting that the target word is a trending keyword based on the frequency analysis.
> 
> 
> 

Good prior art would be evidence of a system that did each and every one of these steps prior to 8/7/2011

You're probably aware of ten pieces of art that meet this criteria already... separately, the applicant is claiming Performing **frequency analysis** refers to applying **discrete Fourier transform** to the **discrete time sequence** of counts for the target word(s).

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**"Trend detection using frequency analysis of streams of words" from the Applicant**
![](https://i.imgur.com/UBd9kRB.png)

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