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Probably one of the first official papers on LSI that is still available online. Save it before no longer is.
Found with the [ lsi ] query through the IRC miner at
The year was 1988. What you were doing back then?
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This is Part 3 of an introductory tutorial series on Term Vector Theory. The classic term frequency-inverse document frequency model or TF-IDF, is discussed.
Its advantages and limitations are discussed.
The tutorial is available at
For more tutorials, visit
PS. Exercises where added to the tutorial and few typos removed.
This is Part 2 of our introductory tutorial series on Term Vector Theory as used in Information Retrieval and Data Mining. The Binary (BNRY) and Term Count (FREQ) models are discussed.
The tutorial is available at
We have published the new tutorial,
as a complement for a previous one, titled
The calculations presented in the new tutorial are so simple that can be carried out with a spreadsheet, online calculator, or by hand. Thus, the article is suitable for those interested in learning about vector space models, but that lack of a linear algebra background.
Information Retrieval and Data Mining by conversing with computers is obvious.
This paper introduces Eve, a high performance
agent that plays a fast-paced
image matching game in a spoken dialogue
with a human partner. The agent can
be optimized and operated in three different
modes of incremental speech processing
that optionally include incremental
speech recognition, language understanding,
and dialogue policies. We present
our framework for training and evaluating
the agent’s dialogue policies. In a user
study involving 125 human participants,
we evaluate three incremental architectures
against each other and also compare
their performance to human-human game play.
Our study reveals that the most fully
incremental agent achieves game scores
that are comparable to those achieved
in human-human game play, are higher
than those achieved by partially and non incremental
versions, and are accompanied
by improved user perceptions of efficiency,
understanding of speech, and naturalness
Another fast-track tutorial updated and improved is back!
This is a fast track tutorial on vector space calculations. A linear algebra approach is used. The tutorial covers term-document and term-query matrices, matrix transposition, dot products, cosine similarities, and local and global weights.
1. Starting with our classic Term Vector Theory series, we are republishing our series of tutorials on Information Retrieval from the early and mid 2000s. See http://www.minerazzi.com/tutorials/
2. A new miner on the Zika Virus is now available online at http://www.minerazzi.com/zika/
3. Additional miners are listed at http://www.minerazzi.com/
MUST checks the initial and final status response codes, urls, and ips upon redirections and whether the target resource is accessible.
These tools demonstrate that DIRA solves an important productivity-blocking problem that plagues many processes and software tools written with scripting languages like PHP: How to avoid PHP timeout errors while allowing the processing of a large number of Web resources and letting users monitor its progress.
We believe that DIRA can be a game changer in a production and database development setting.
As retrieval time is slaved to the response time of remote hosts, you may want to do other tasks while the tool is working, particularly if submitting a large number of URLs.
To avoid abuses, we have limited URLs to a maximum of 100 per submission. You may also want to run one web browser instance of the tool at a time per machine IP, to avoid unexpected results.
Enjoy these tools and Happy Holidays!