If you end up using this code or the data, please cite our paper:

@unknown{unknown,
author = {Arya, Shreyash and Uberoi, Anannya and Dhawan, Sarthika and Chakraborty, Tanmoy},
year = {2019},
month = {02},
pages = {},
title = {“I am Kalam” - Analyzing and Generating Kalam's Answer Patterns},
doi = {10.13140/RG.2.2.28964.09602}
}

Cite work here!

'I am Kalam' - Reliving Kalam’s Words

💡 The work was presented at the Workshop on AI for Computational Social Systems (ACSS 2019), IIIT-Delhi.

Analyzing answer pattern of APJ Abdul Kalam and responding to a query following his answering pattern. We are applying RNNs to generate answers to user queries.

Dataset: Dataset has been scrapped from interviews available on various websites form the google search results.
Files: dataset/ directory containes different extracted data forms.
Code: code/ directory contains codes from IR-IE model, seq2seq model, preprocessing and evaluation.

IR-IE model

$ python sen2vec_my.py

** sent2vec library needs to be installed from https://github.com/epfml/sent2vec.<br>
** pre trained model <a href='https://drive.google.com/file/d/0B6VhzidiLvjSOWdGM0tOX1lUNEk/view'>torontobooks_unigrams.bin</a> need to be downloaded and kept in same directory.

seq2seq model

$ python main.py 

to train the system and save the model named as model.npz.<br>
Set inference_mode=1 for testing purpose and run python main.py.

References

• https://github.com/facebookarchive/NAMAS
  
• https://github.com/zwc12/Summarization
  
• https://datascience.stackexchange.com/questions/23969/sentence-similarity-prediction
  
• https://rare-technologies.com/doc2vec-tutorial/
  
• http://nlp.town/blog/sentence-similarity/
  
• https://radimrehurek.com/gensim/models/keyedvectors.html
  
• https://machinelearningmastery.com/develop-word-embeddings-python-gensim/
  
• https://github.com/epfml/sent2vec
  
• https://pdfs.semanticscholar.org/ffbb/1d120c3c2881431933c6f928b851824913c4.pdf?_ga=2.35884901.416918627.1538253292-1431390683.1533485502
  
• https://arxiv.org/pdf/1603.06155.pdf
  
• https://people.cs.umass.edu/~ashutoshchou/persona_chatbot_report.pdf
  
• https://github.com/ashutosh-choudhary/conversational_agent_personified
  
• https://towardsdatascience.com/personality-for-your-chatbot-with-recurrent-neural-networks-2038f7f34636
  
• https://github.com/manumathewthomas/Chat-with-Joey
  
• https://github.com/inikdom/neural-chatbot
  
• https://github.com/tensorlayer/seq2seq-chatbot
  
• https://github.com/epfml/sent2vec
  
• http://adventuresinmachinelearning.com/keras-lstm-tutorial/

Tada! (:) ✌️👽