Twit Bots made in Japan

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

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

also gives you url :)

@moku2

もくもく会（MOKMOK-KAI) = study meeting

by @pha

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.

When the one who got @doppelkun tweets...

@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.

@fuba_recorder

BUT...

@fuba_recorder

The one who watch the recorded TV show is @fuba

not you :p

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.

圧縮(asshuku) = Compression新聞(shinbun) = newspaper

by @pha

text source : news

@asshuku

Decompose news of the day into words, then pickup some words and connect based on Markov chain methods.

@asshuku

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 :)

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

@kyoujin tweets every one hour.

it's kind of cute :)

夢野久作(Kyusaku Yumeno) = a famous writer

by @negipo

text source : novel 『少女地獄(hell of girls)』

@yumeno

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

same as @kyoujin, but @yumeno's original source is kind of crazy novel, so @yumeno tweets are more crazier :D fun.

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.

Twit Bots made in Japan

markov chain

fubarecorder

future states

sentence based

jpmirakui200811301228058271

news http

twitbots made

html

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