N
Noticedtrends
It's possible to spot emerging computer, Internet, and technology
trends; especially as it applies to responding to security concerns
e.g., malware.
Trend-spotting is done through search strategies using inference by
noting the context of how specific keywords are applied. For example,
if an author of content subconsciously mentions words like 'a growing
trend toward', or even the word 'lately,' this can signal
emerging trends.
Since emerging trends per-se receive very little (yet growing) mentions
within media content; the use of specific keywords naturally
narrows-down the number of search results; yet greatly increases the
percentage of search-results on growing trends.
'Rootkits,' a form of malware have been gaining attention lately.
Here is a sample search using the occurrence of words 'rootkits'
and 'lately.'
http://www.google.com/search?hl=en&...y"+malware++"july+2006"&as_qdr=m3&btnG=Search
---For specific dates: 'July 2006'OR 'July * 2006' applies an
asterisk to indicate specific dates, and infers up-to-date content; yet
some Internet sites contain older content. Many trade and professional
publications post-date content e.g., 'August, 2006'
--- The asterisk character "*" is a wild-card character that also
indicates two words NEAR each other.
The term 'lately' can be applied in different ways.
--(search term(s)) lately.
-- lately (search term(s))
-- lately * (search term(s)).
-- (search term(s)) * lately.
* Other keywords:
--"Growing trend toward"
-- "A sharp increase."
-- "becoming more."
-- "becoming increasingly"
* Different combinations of keywords also yield content indicating
possible trends to watch. It's also important to apply keywords
describing specific:
-- Jargon.
-- Products
-- Services
-- Companies
-- Names of publications.
-- Or any other miscellaneous terms.
Search-results are very subjective. After all, inference requires
"human input" to "separate the wheat from the chaff" as search
engines can't automatically yield relevant trend information.
Trend-spotting through inference may even act "as a practice of
sorts" for spotting new trends through intuition even before any
relevant content is published!
trends; especially as it applies to responding to security concerns
e.g., malware.
Trend-spotting is done through search strategies using inference by
noting the context of how specific keywords are applied. For example,
if an author of content subconsciously mentions words like 'a growing
trend toward', or even the word 'lately,' this can signal
emerging trends.
Since emerging trends per-se receive very little (yet growing) mentions
within media content; the use of specific keywords naturally
narrows-down the number of search results; yet greatly increases the
percentage of search-results on growing trends.
'Rootkits,' a form of malware have been gaining attention lately.
Here is a sample search using the occurrence of words 'rootkits'
and 'lately.'
http://www.google.com/search?hl=en&...y"+malware++"july+2006"&as_qdr=m3&btnG=Search
---For specific dates: 'July 2006'OR 'July * 2006' applies an
asterisk to indicate specific dates, and infers up-to-date content; yet
some Internet sites contain older content. Many trade and professional
publications post-date content e.g., 'August, 2006'
--- The asterisk character "*" is a wild-card character that also
indicates two words NEAR each other.
The term 'lately' can be applied in different ways.
--(search term(s)) lately.
-- lately (search term(s))
-- lately * (search term(s)).
-- (search term(s)) * lately.
* Other keywords:
--"Growing trend toward"
-- "A sharp increase."
-- "becoming more."
-- "becoming increasingly"
* Different combinations of keywords also yield content indicating
possible trends to watch. It's also important to apply keywords
describing specific:
-- Jargon.
-- Products
-- Services
-- Companies
-- Names of publications.
-- Or any other miscellaneous terms.
Search-results are very subjective. After all, inference requires
"human input" to "separate the wheat from the chaff" as search
engines can't automatically yield relevant trend information.
Trend-spotting through inference may even act "as a practice of
sorts" for spotting new trends through intuition even before any
relevant content is published!