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

Seminar, 09.01.2020

Inhaltsverzeichnis

1 chatbots
2 chatbot-Datasets
3 some NLP-stuff
- 3.1 Word2Vec on Twitter
4 Books about chatbot-coding
- 4.1 conda (create environement, the fast way)

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

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

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

@@ Zeile 1: / Zeile 1: @@
+[[AI@exLabIII|Seminar]], '''09.01.2020'''
 [[Datei:TbKAF1l.gif]]
 = chatbots =
@@ Zeile 5: / Zeile 6: @@
 https://medium.com/@BhashkarKunal/conversational-ai-chatbot-using-deep-learning-how-bi-directional-lstm-machine-reading-38dc5cf5a5a3
+----
+==(alte linksammlung)==
+* https://bdtechtalks.com/2017/08/21/rob-high-ibm-watson-cto-artificial-intelligence-chatbots/
+* https://chatbotsmagazine.com/contextual-chat-bots-with-tensorflow-4391749d0077
+** Jupyter Notebook: https://github.com/ugik/notebooks/blob/master/Tensorflow%20chat-bot%20model.ipynb
+* Facebook-Messenger-Bot: https://dzone.com/articles/how-i-used-deep-learning-to-train-a-chatbot-to-tal
+** Git-Repo: https://github.com/adeshpande3/Facebook-Messenger-Bot
+* https://tutorials.botsfloor.com/how-to-build-your-first-chatbot-c84495d4622d
+** Jupyter Notebooks: https://github.com/suriyadeepan/practical_seq2seq
 -----
@@ Zeile 18: / Zeile 27: @@
 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
@@ Zeile 52: / Zeile 64: @@
 ===== 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/
@@ Zeile 60: / Zeile 74: @@
 with python-google-search: https://towardsdatascience.com/build-a-simple-chatbot-with-python-and-google-search-c000aa3f73f0
 ===== code-snippets: =====
@@ Zeile 88: / Zeile 100: @@
 ===== insert string on the begining of each n line  =====
-<blockquote><pre class="shell">sed '0~2 s/^/string /g' &lt; input.file`</pre></blockquote>
+<code>sed '0~2 s/^/string /g' &lt; input.file`</code>
 * <code>0~2</code> jede zweite zeile definieren
 * <code>s</code> zeichen ersetzen (in diesem konkreten sinne ''einfügen'')
@@ Zeile 97: / Zeile 109: @@
 ====== save it in file ======
-<blockquote><pre class="shell">sed -i'0~2 s/^/string /g' input.file</pre></blockquote>
+<code>sed -i'0~2 s/^/string /g' input.file</code>
 ===== if z.b. Fragezeichen in der zeile insert string on beginning of line =====
-<blockquote><pre class="shell">sed -n '/?/{s/^/string /; p}' input.file</pre></blockquote>
+<code>sed -n '/?/{s/^/string /; p}' input.file</code>
 * <code>-n</code> keine zeilen <code>printen</code> außer wir definieren diese (siehe <code>p</code>)
 * <code>/?/</code> sucht die zeilen in der die regex <code>?</code> auftaucht
@@ Zeile 110: / Zeile 122: @@
 ====== save it in file... ======
-<blockquote><pre class="shell">sed -n '/?/{s/^/strrrr/; p}' input.file &gt; new.file</pre></blockquote>
+<code>sed -n '/?/{s/^/strrrr/; p}' input.file &gt; new.file</code>
-#####
 ==== little cheatsheets ''sed'' ====
@@ Zeile 194: / Zeile 205: @@
 https://chatbotslife.com/how-to-build-a-chatbot-from-zero-a0ebb186b070
 = chatbot-Datasets =
@@ Zeile 275: / Zeile 284: @@
 https://docs.conda.io/projects/conda/en/4.6.0/_downloads/52a95608c49671267e40c689e0bc00ca/conda-cheatsheet.pdf
-<blockquote><pre class="shell">conda -n chatbot python=3.6</pre></blockquote>
+<code>conda -n chatbot python=3.6</code>
-<blockquote><pre class="shell">conda create --name chatbot python=3.4</pre></blockquote>
+<code>conda create --name chatbot python=3.4</code>

Chatbots: Unterschied zwischen den Versionen

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