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About TwitBots made by Japanese people. Presented at #TwittBkk2 on 7/Feb/2009 at Bug & Bee on Silom.
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和製ボットTwitBots made in JAPAN
#TwittBkk2: FailWhale Meeting at Bug & Bee on 7 Feb 2009by @31o5
There are many TwitBots.
but today I want to introduce some TwitBots made by Japanese.
Because I am a Japanse, and many of Japanese technical people are
sometimes away from rest of the world because of the language :(
and also it's very difficult to get involved in Japanese market if you are non-Japanese.
i just want to connect the world kha :)
OK... let me start :)
Many of Japanese words have た(TA) the end of the words.
For example... 食べた(tabe-TA) = eaten 作った(tsuku-TTA) = made 髪切った(kami ki-TTA) = had hair cut 起きた(oki-TA) = woke up
so it's easy to make
@something-tter
@harahetter@harahetters
はらへったー(harahetter) = hungry
idea by @yukio_andohmade by @motonagajiro
http://minken.net/mt/archives/000636.html
@harahetter@harahetters
When you feel hungry or when you eat something, reply @harahetter, then people following @harahetters receive the updates.
@harahetters makes me more hungry though...
http://minken.net/mt/archives/000636.html
OK, you were hungry, but now you've eaten.
@tabetter
食べた(tabeta) = i ate
To keep record what you eat.
http://tabetter.bug-fix.net/index_/index.html
@tabetter
@tabetter pickups follower's tweet about meal and reply back "enjoy it :)" to the follower.
someone made this to keep his meal record.
http://tabetter.bug-fix.net/index_/index.html
@kamikitter
髪切った(kamikitta)? = did you have haircut?
This is favorite phrase of TAMORI (famous presenter of TV show called "Waratte-Iitomo"), he says this everyday (actually 5 days a week)
http://trac.codecheck.in/share/browser/lang/php/misc/scratch/kamikitter.php
seems it pick up people to @ randomly. it's been upgraded these days.
@kamikitter speaks more like real TAMORI.
You can see the code at the URL.
http://trac.codecheck.in/share/browser/lang/php/misc/scratch/kamikitter.php
@wakatter
わかった(wakatta) = I understand
Picking up follower's tweets and reply back as"You say xxxx, I do understand".
http://22century.cute.bz/wakatter/
@tsukutter
作った(tsukutta) = I made it!
made by @ina_ani
http://inajob.no-ip.org:10080/tsukutter/index.html
When you made something, tweet to @tsukutter. Use this to make your products popular :)
http://inajob.no-ip.org:10080/tsukutter/index.html
There must be more xxx-tter...
but for now, let's move to the next
You can use TwitBot to promote your webservices/websites,
and it's great if it's useful for users :)
Many news websites automatically tweet updated news, many people send blog
updates to twitter.
But it's still ONE-WAY.
It's better if you can get data via twitter.or share the data with others.
@tabebot
食べる(taberu) = eat
by http://tabelog.com
tabelog.com is a social website about restaurant.
@tabebot helps you to find where/what to eat.
http://tabelog.com
tweet @tabebot AREA+Category
http://tabelog.com
@tabebot will suggest where to eat, also give you the url of the restaurant information (which is on their website).
http://tabelog.com
http://tabelog.com
Restaurant information page is very ifnormative.
@pricedown
@pricedown let you know when the price gets down on amazon.co.jp. You can register products on http://ckworks.jp/amatomo/
http://elpeo.jp/diary/20071220.html#p01
http://elpeo.jp/diary/20071220.html#p01
also gives you url :)
@moku2
もくもく会(MOKMOK-KAI) = study meeting
by @pha
http://moku2.g.hatena.ne.jp/calendar/
http://moku2.g.hatena.ne.jp/calendar/
When you hold MOKMOK-KAI, you can update the MOKMOK Calendar.
@moku2 tweets today's MOKMOK-KAI information. Actually I have setup MOKMOK-KAI sometimes in bangkok :)
http://moku2.g.hatena.ne.jp/calendar/
There are some TwitBots just for fun :p
@doppelkun
@doppelkun = doppelganger
by @pha and @mirakui
http://d.hatena.ne.jp/mirakui/20081130/1228058271
@doppelkun
Every night, 0:00 in Tokyo time, @doppelkun become a doppelganger of someone who follows @doppelkun.
http://d.hatena.ne.jp/mirakui/20081130/1228058271
When the one who got @doppelkun tweets...
http://d.hatena.ne.jp/mirakui/20081130/1228058271
http://d.hatena.ne.jp/mirakui/20081130/1228058271
@doppelkun re-tweets the one's tweets for 24 hours.
@fuba_recorder
ask @fuba_recorder to record TV program you want to watch.
it goes to search the list of TV program and record the program on HD Recorder.
http://tako3.com/http://twitter.com/fuba_recorder
@fuba_recorder will let you know that the program is recorded.
http://tako3.com/http://twitter.com/fuba_recorder
@fuba_recorder
BUT...
http://tako3.com/http://twitter.com/fuba_recorder
@fuba_recorder
The one who watch the recorded TV show is @fuba
not you :p
http://tako3.com/http://twitter.com/fuba_recorder
Programing LANGUAGE is a LANGUAGE, many of programmers loves natural
languages as well.
So they like to play with text data.
@shisya00
死者(shisya) = the dead
by @pha
text source : news
http://d.hatena.ne.jp/pha/20081128/1227860915
Actor. 5/Feb, brain tumor. 76 years old. @shisya00 tweets information about someone's death, but without the name.
http://d.hatena.ne.jp/pha/20081128/1227860915
圧縮(asshuku) = Compression新聞(shinbun) = newspaper
by @pha
text source : news
@asshuku
http://d.hatena.ne.jp/pha/20071124/1195904502
Decompose news of the day into words, then pickup some words and connect based on Markov chain methods.
@asshuku
http://d.hatena.ne.jp/pha/20071124/1195904502
So you can know the news of the day in one sentence, it includes keywords of the day. sometimes (or most of the times) it's a mess, but fun :)
http://d.hatena.ne.jp/pha/20071124/1195904502
Markov chain?
well....
I can't explain well...orz
help me, Wikipedia! In mathematics, a Markov chain, named after Andrey Markov, is a stochastic process with the Markov property. Having the Markov property means that, given the present state , future states are independent of the past states. In other words, the description of the present state fully captures all the information that could influence the future evolution of the process. Future states will be reached through a probabilistic process instead of a deterministic one. At each step the system may change its state from the current state to another state, or remain in the same state, according to a certain probability distribution. The changes of state are called transitions, and the probabilities associated with various state-changes are called transition probabilities. An example of a Markov chain is a simple random walk where the state space is a set of vertices of a graph and the transition steps involve moving to any of the neighbors of the current vertex with equal probability (regardless of the history of the walk).
http://en.wikipedia.org/wiki/Markov_chain
well... there are some more using Malkov chain...
狂人(kyoujin) = crazy man
by @negipo
text source : blog http://polog.org
@kyoujin
http://polog.org/archives/2007/05/11030602.php
Decompose entries of kyoujin's blkog (http://polog.org) into words, then pickup some words, connect and make a sentence based on Markov chain methods.
@kyoujin
http://polog.org/archives/2007/05/11030602.php
@kyoujin tweets every one hour.
it's kind of cute :)
http://polog.org/archives/2007/05/11030602.php
夢野久作(Kyusaku Yumeno) = a famous writer
by @negipo
text source : novel 『少女地獄(hell of girls)』
@yumeno
http://polog.org/archives/2007/05/17230301.php
Decompose Yumeno's novel called "少女地獄(hell of girls)" into words, then pickup some words, connect and make a sentence based on Markov chain methods.
@yumeno
http://polog.org/archives/2007/05/17230301.php
same as @kyoujin, but @yumeno's original source is kind of crazy novel, so @yumeno tweets are more crazier :D fun.
http://polog.org/archives/2007/05/17230301.php
well... these depend on Japanese language too much...
let me introduce a very simple Twitbotfor twitter addicts.
@jihou
時報(jihou) = time tone
by @msng
http://www.msng.info/archives/2007/12/twitter_time_signal_bot.php
just to tell the time. Twitter addicts read twitter timeline more than clock. "It's 23:00 now"
http://www.msng.info/archives/2007/12/twitter_time_signal_bot.php
Are you addicted?
maybe i am....
Anyway, let's tweet :D
Khoop khun kha :Darigatou gozai mashita.