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[[AI@exLabIII|Seminar]], '''09.01.2020'''
 
[[Datei:TbKAF1l.gif]]
 
[[Datei:TbKAF1l.gif]]
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= chatbots =
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detailled explaination:
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https://medium.com/@BhashkarKunal/conversational-ai-chatbot-using-deep-learning-how-bi-directional-lstm-machine-reading-38dc5cf5a5a3
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----
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==(alte linksammlung)==
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* https://bdtechtalks.com/2017/08/21/rob-high-ibm-watson-cto-artificial-intelligence-chatbots/
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* https://chatbotsmagazine.com/contextual-chat-bots-with-tensorflow-4391749d0077
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** Jupyter Notebook: https://github.com/ugik/notebooks/blob/master/Tensorflow%20chat-bot%20model.ipynb
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* Facebook-Messenger-Bot: https://dzone.com/articles/how-i-used-deep-learning-to-train-a-chatbot-to-tal
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** Git-Repo: https://github.com/adeshpande3/Facebook-Messenger-Bot
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* https://tutorials.botsfloor.com/how-to-build-your-first-chatbot-c84495d4622d
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** Jupyter Notebooks: https://github.com/suriyadeepan/practical_seq2seq
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-----
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== chatbotAI ==
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==== examples ====
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https://github.com/ahmadfaizalbh/Chatbot << https://pypi.org/project/chatbotAI/
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[[https://github.com/ahmadfaizalbh/Meetup-Resources/blob/master/How to build a bot.ipynb|https://github.com/ahmadfaizalbh/Meetup-Resources/blob/master/How%20to%20build%20a%20bot.ipynb]]
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https://chatbotslife.com/how-to-create-your-own-facebook-messenger-chatbot-right-now-a7605f2f31ef
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----
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==NLTK-chatbot==
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https://github.com/PrasannaNatarajan/Context-Aware_Chatbot/blob/master/Context-Aware_chatbot.ipynb
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-----
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== chatterbot ==
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https://github.com/gunthercox/ChatterBot
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multilingual
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einfach trainier- und erweiterbar
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==== chatterbot-docs: ====
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https://www.tutorialdocs.com/tutorial/chatterbot/simple-example.html
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https://chatterbot.readthedocs.io/en/latest/setup.html
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==== examples/howtos ====
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https://dev.to/sahilrajput/build-your-first-chatbot-in-5-minutes--15e3
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===== SMS: =====
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https://chatbotslife.com/how-to-create-an-intelligent-chatbot-in-python-c655eb39d6b1
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===== voice: =====
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https://github.com/gunthercox/chatterbot-voice
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===== web: =====
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'''How create Chatbot in Few minutes Using Python or Flask: https://mc.ai/how-create-chatbot-in-few-minutes-using-python-or-flask/'''
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https://www.edureka.co/blog/how-to-make-a-chatbot-in-python/
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https://github.com/chamkank/flask-chatterbot
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https://dev.to/sahilrajput/build-a-chatbot-using-flask-in-5-minutes-574i
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with python-google-search: https://towardsdatascience.com/build-a-simple-chatbot-with-python-and-google-search-c000aa3f73f0
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===== code-snippets: =====
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https://www.programcreek.com/python/example/105342/chatterbot.ChatBot
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==== training-data ====
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https://github.com/gunthercox/chatterbot-corpus
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https://github.com/gunthercox/chatterbot-corpus/tree/master/chatterbot_corpus/data/english
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https://www.kaggle.com/kausr25/chatterbotenglish
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https://github.com/shubham0204/Dataset''Archives/blob/master/chatbot''nlp.zip?raw=true
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===== errors =====
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OSError: [E050] Can't find model 'en'.
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<blockquote><source lang="python">python -m spacy download en</source></blockquote>
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==== text preprocessing (.yml file) ====
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===== insert string on the begining of each n line  =====
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<code>sed '0~2 s/^/string /g' &lt; input.file`</code>
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* <code>0~2</code> jede zweite zeile definieren
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* <code>s</code> zeichen ersetzen (in diesem konkreten sinne ''einfügen'')
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* <code>/^/</code> zeilenanfang definieren
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* <code>/string/</code> string der eingefügt werden soll
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* <code>/g</code> steht für ''global''
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====== save it in file ======
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<code>sed -i'0~2 s/^/string /g' input.file</code>
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===== if z.b. Fragezeichen in der zeile insert string on beginning of line =====
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<code>sed -n '/?/{s/^/string /; p}' input.file</code>
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* <code>-n</code> keine zeilen <code>printen</code> außer wir definieren diese (siehe <code>p</code>)
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* <code>/?/</code> sucht die zeilen in der die regex <code>?</code> auftaucht
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* <code>s/^/string /;</code> siehe oben
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* <code>p</code> print
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====== save it in file... ======
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<code>sed -n '/?/{s/^/strrrr/; p}' input.file &gt; new.file</code>
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==== little cheatsheets ''sed'' ====
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https://wiki.ubuntuusers.de/sed/#Anwendungsbeispiele
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https://www.cyberciti.biz/faq/bash-prepend-text-lines-to-file/
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 +
----
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== tflearn-chatbot ==
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https://medium.com/oracledevs/say-hello-to-red-samurai-contextual-chatbot-with-tensorflow-deep-neural-network-learning-aa69dd3be04f
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 +
----
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== keras-chatbot ==
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https://towardsdatascience.com/deep-learning-for-nlp-creating-a-chatbot-with-keras-da5ca051e051
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-----
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== FB-messenger-chatbots  ==
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=== howto's ===
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https://medium.com/@ferrygunawan/build-facebook-messenger-contextual-chatbot-with-tensorflow-and-keras-4f8cc79438cf
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=== FB-Zugangsdaten ===
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https://www.gadgetcouncil.com/create-facebook-account/
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e-mail: jilot53126@seo-mailer.com
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PW: kpiertongga13_
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UName: Luther Blissett
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==== chatbot talk like me ====
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https://adeshpande3.github.io/How-I-Used-Deep-Learning-to-Train-a-Chatbot-to-Talk-Like-Me
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https://github.com/adeshpande3/Facebook-Messenger-Bot
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-----
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== chatbots ready2use ==
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https://www.guru99.com/best-ai-chatbots.html
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https://shanebarker.com/blog/best-ai-chatbot/
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-----
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== chatbots-general ==
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https://botwiki.org/resource/tutorial/how-to-make-a-twitter-bot-the-definitive-guide/
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https://hackernoon.com/deep-learning-chatbot-everything-you-need-to-know-r11jm30bc
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https://dennistroeger.com/chatbot-programmieren/
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=== sentiment analysis & chatbots ===
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https://spicefactory.co/blog/2017/11/29/a-gentle-dive-into-nlp-sentiment-analysis-and-chatbots/
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https://spicefactory.co/blog/2016/10/10/how-to-design-build-chat-bots-people-will-love/
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 +
-----
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== unser seminarsbot ==
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<small><code>exMedia_Machines/Seminar_Einführung-in-die-Programmierung-KI/05_14_11_maschinelles-sprechen/'''FDBot.ipynb'''</code></small>
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<small><code>exMedia_Machines/Seminar_Einführung-in-die-Programmierung-KI/05_14_11_maschinelles-sprechen/'''transbot.ipynb'''</code></small>
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[[Datei:bots1.png|500px]][[Datei:bots2.png|500px]]
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 +
-----
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== RASA-chatbot ==
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https://chatbotslife.com/how-to-build-a-chatbot-from-zero-a0ebb186b070
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= chatbot-Datasets =
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https://en.wikipedia.org/wiki/List''of''datasets''for''machine-learning_research
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https://pathmind.com/wiki/data-for-deep-learning
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https://pathmind.com/wiki/open-datasets
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ubuntu-dialog: https://github.com/rkadlec/ubuntu-ranking-dataset-creator/tree/master/src
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chatbot-talk-like-me/Facebook-Messenger-Bot-master/ubuntu-dialog_training.ipynb
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UCI-Repo: https://archive.ics.uci.edu/ml/datasets.php
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wiki-text: https://blog.einstein.ai/the-wikitext-long-term-dependency-language-modeling-dataset/
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movie-dialogs: https://www.cs.cornell.edu/~cristian/Cornell''Movie-Dialogs''Corpus.html
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https://www.kaggle.com/datasets?search=chatbot
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https://www.kaggle.com/tayorm/chat-corpus-dataset
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https://github.com/shubham0204/Dataset_Archives
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news: https://newsapi.org/sources
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-----
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 +
-----
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 +
 +
 +
= some NLP-stuff =
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 +
https://rohanvarma.me/Word2Vec/
 +
 +
== Word2Vec on Twitter ==
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https://github.com/loretoparisi/word2vec-twitter
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https://fredericgodin.com/software/
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 +
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= Books about chatbot-coding =
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Building chatbots with python:
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https://b-ok.cc/book/3642068/da7d8c
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https://github.com/Apress/building-chatbots-with-python
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 +
Deep Learning with Applications Using Python: Chatbots and Face, Object, and Speech Recognition with Tensorflow and Keras:
 +
 +
https://b-ok.cc/book/3579919/8057f9
 +
 +
 +
 +
== conda (create environement, the fast way)==
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https://docs.conda.io/projects/conda/en/4.6.0/_downloads/52a95608c49671267e40c689e0bc00ca/conda-cheatsheet.pdf
 +
 +
<code>conda -n chatbot python=3.6</code>
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 +
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<code>conda create --name chatbot python=3.4</code>

Aktuelle Version vom 6. Juli 2020, 12:21 Uhr

Seminar, 09.01.2020 TbKAF1l.gif

chatbots

detailled explaination:

https://medium.com/@BhashkarKunal/conversational-ai-chatbot-using-deep-learning-how-bi-directional-lstm-machine-reading-38dc5cf5a5a3

(alte linksammlung)

chatbotAI

examples

https://github.com/ahmadfaizalbh/Chatbot << https://pypi.org/project/chatbotAI/

[to build a bot.ipynb|https://github.com/ahmadfaizalbh/Meetup-Resources/blob/master/How%20to%20build%20a%20bot.ipynb]

https://chatbotslife.com/how-to-create-your-own-facebook-messenger-chatbot-right-now-a7605f2f31ef

NLTK-chatbot

https://github.com/PrasannaNatarajan/Context-Aware_Chatbot/blob/master/Context-Aware_chatbot.ipynb


chatterbot

https://github.com/gunthercox/ChatterBot

multilingual

einfach trainier- und erweiterbar


chatterbot-docs:

https://www.tutorialdocs.com/tutorial/chatterbot/simple-example.html

https://chatterbot.readthedocs.io/en/latest/setup.html

examples/howtos

https://dev.to/sahilrajput/build-your-first-chatbot-in-5-minutes--15e3

SMS:

https://chatbotslife.com/how-to-create-an-intelligent-chatbot-in-python-c655eb39d6b1

voice:

https://github.com/gunthercox/chatterbot-voice

web:

How create Chatbot in Few minutes Using Python or Flask: https://mc.ai/how-create-chatbot-in-few-minutes-using-python-or-flask/

https://www.edureka.co/blog/how-to-make-a-chatbot-in-python/

https://github.com/chamkank/flask-chatterbot

https://dev.to/sahilrajput/build-a-chatbot-using-flask-in-5-minutes-574i

with python-google-search: https://towardsdatascience.com/build-a-simple-chatbot-with-python-and-google-search-c000aa3f73f0

code-snippets:

https://www.programcreek.com/python/example/105342/chatterbot.ChatBot

training-data

https://github.com/gunthercox/chatterbot-corpus 

https://github.com/gunthercox/chatterbot-corpus/tree/master/chatterbot_corpus/data/english

https://www.kaggle.com/kausr25/chatterbotenglish 

https://github.com/shubham0204/DatasetArchives/blob/master/chatbotnlp.zip?raw=true
errors

OSError: [E050] Can't find model 'en'. 

python -m spacy download en


text preprocessing (.yml file)

insert string on the begining of each n line

sed '0~2 s/^/string /g' < input.file`

  • 0~2 jede zweite zeile definieren
  • s zeichen ersetzen (in diesem konkreten sinne einfügen)
  • /^/ zeilenanfang definieren
  • /string/ string der eingefügt werden soll
  • /g steht für global
save it in file

sed -i'0~2 s/^/string /g' input.file


if z.b. Fragezeichen in der zeile insert string on beginning of line

sed -n '/?/{s/^/string /; p}' input.file

  • -n keine zeilen printen außer wir definieren diese (siehe p)
  • /?/ sucht die zeilen in der die regex ? auftaucht
  • s/^/string /; siehe oben
  • p print
save it in file...

sed -n '/?/{s/^/strrrr/; p}' input.file > new.file

little cheatsheets sed

https://wiki.ubuntuusers.de/sed/#Anwendungsbeispiele

https://www.cyberciti.biz/faq/bash-prepend-text-lines-to-file/

tflearn-chatbot

https://medium.com/oracledevs/say-hello-to-red-samurai-contextual-chatbot-with-tensorflow-deep-neural-network-learning-aa69dd3be04f

keras-chatbot

https://towardsdatascience.com/deep-learning-for-nlp-creating-a-chatbot-with-keras-da5ca051e051

FB-messenger-chatbots

howto's

https://medium.com/@ferrygunawan/build-facebook-messenger-contextual-chatbot-with-tensorflow-and-keras-4f8cc79438cf

FB-Zugangsdaten

https://www.gadgetcouncil.com/create-facebook-account/

e-mail: jilot53126@seo-mailer.com

PW: kpiertongga13_

UName: Luther Blissett

chatbot talk like me

https://adeshpande3.github.io/How-I-Used-Deep-Learning-to-Train-a-Chatbot-to-Talk-Like-Me 

https://github.com/adeshpande3/Facebook-Messenger-Bot

chatbots ready2use

https://www.guru99.com/best-ai-chatbots.html

https://shanebarker.com/blog/best-ai-chatbot/

chatbots-general

https://botwiki.org/resource/tutorial/how-to-make-a-twitter-bot-the-definitive-guide/

https://hackernoon.com/deep-learning-chatbot-everything-you-need-to-know-r11jm30bc

https://dennistroeger.com/chatbot-programmieren/


sentiment analysis & chatbots

https://spicefactory.co/blog/2017/11/29/a-gentle-dive-into-nlp-sentiment-analysis-and-chatbots/ 

https://spicefactory.co/blog/2016/10/10/how-to-design-build-chat-bots-people-will-love/

unser seminarsbot

exMedia_Machines/Seminar_Einführung-in-die-Programmierung-KI/05_14_11_maschinelles-sprechen/FDBot.ipynb

exMedia_Machines/Seminar_Einführung-in-die-Programmierung-KI/05_14_11_maschinelles-sprechen/transbot.ipynb

Bots1.pngBots2.png

RASA-chatbot

https://chatbotslife.com/how-to-build-a-chatbot-from-zero-a0ebb186b070

chatbot-Datasets

https://en.wikipedia.org/wiki/Listofdatasetsformachine-learning_research

https://pathmind.com/wiki/data-for-deep-learning 

https://pathmind.com/wiki/open-datasets


ubuntu-dialog: https://github.com/rkadlec/ubuntu-ranking-dataset-creator/tree/master/src 

chatbot-talk-like-me/Facebook-Messenger-Bot-master/ubuntu-dialog_training.ipynb


UCI-Repo: https://archive.ics.uci.edu/ml/datasets.php


wiki-text: https://blog.einstein.ai/the-wikitext-long-term-dependency-language-modeling-dataset/


movie-dialogs: https://www.cs.cornell.edu/~cristian/CornellMovie-DialogsCorpus.html

https://www.kaggle.com/datasets?search=chatbot 

https://www.kaggle.com/tayorm/chat-corpus-dataset


https://github.com/shubham0204/Dataset_Archives


news: https://newsapi.org/sources





some NLP-stuff

https://rohanvarma.me/Word2Vec/

Word2Vec on Twitter

https://github.com/loretoparisi/word2vec-twitter 

https://fredericgodin.com/software/


Books about chatbot-coding

Building chatbots with python:

https://b-ok.cc/book/3642068/da7d8c 

https://github.com/Apress/building-chatbots-with-python

Deep Learning with Applications Using Python: Chatbots and Face, Object, and Speech Recognition with Tensorflow and Keras:

https://b-ok.cc/book/3579919/8057f9


conda (create environement, the fast way)

https://docs.conda.io/projects/conda/en/4.6.0/_downloads/52a95608c49671267e40c689e0bc00ca/conda-cheatsheet.pdf

conda -n chatbot python=3.6


conda create --name chatbot python=3.4

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