| Time | 
		28th June | 
		29th June | 
		30th June | 
		1st July | 
		2nd July | 
		3rd July | 
	
	
	
		
		| 09:30 to 10:00 | 	
		 | 
		 Introduction to the Summer School.  | 
		 | 
		 | 
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		 | 
		
		
		
	
	
		| 10:00 to 11:30  | 
		 | 
		Understanding and Mitigating Demographic Biases in Crowdsourced Recommendations. Dr. Krishna Gummadi, MPI - SWS | 
		Applications / Challenges of social network analysis, Prof. PK, IIIT {D,H}  | 
		Social Media Search and Analytics, Prof. Vasu, IIITH    | 
		Affective Content Analysis, Dr. Niyati Chhaya, Adobe  | 
		Security & Privacy in Online Social Media, Prof. PK, IIIT {D,H}  | 
	
	
		|  11:30 to 11:45 | 
		 | 
		Coffee / Tea break  | 
		Coffee / Tea break  | 
		Coffee / Tea break  | 
		Coffee / Tea break  | 
		Coffee / Tea break  | 
		
	
  
	
		|  11:45 to 13:15 | 
		 | 
		Social Network Analysis, Dr. Manish Gupta, Microsoft IDC | 
		 Social Network Analysis, Dr. Manish Gupta, Microsoft IDC  | 
		 Natural Language Processing / Sentiment Analysis, Prof. Manish Srivastava, IIITH | 
		 Psycho linguistic analysis of content and users on Social Systems, Prof. Amitava Das, IIIT Sri City  | 
		Discrimination / Fake News, Prof. Vasu, IIITH   | 		
	
	
		|  13:15 to 14:00 | 
		  | 
		 Lunch | 
		 Lunch | 
		Lunch | 
		  Lunch | 
		Lunch | 		
	
	
		|  14:00 to 15:00 | 
		  | 
		 Sentiment Analysis: Pushing the frontiers with new tasks and languages, Prof. Pushpak Battacharyya, IIT Patna / Bombay  | 
		 Lab 2: Building network graphs from the data using Gephi  | 
		 Lab 4: TF-IDF, word2Vec, Doc2Vec, word embeddings   | 
		 Lab 7: Affective analysis of social media text - Analysis of presence of affect and it's intensity in text. Exposure to use of lexical resources: Warriner's lexicon, LIWC, SentiWordNet etc, analyzing formality & politeness. | 
		  Ideas / Solutions presentation   | 
	
	
		|  15:00 to 15:15 | 
		 Setting up of laptop with all necessary infrastructure. | 
	
	
		|  15:15 to 15:45 | 
		
		 Coffee / Tea break  | 
		  Coffee / Tea break  | 
		 Coffee / Tea break  | 
		 Coffee / Tea break  | 
		 Coffee / Tea break /Conclusion | 
	
	
		|  15:45 to 17:00 | 
		
		  Lab 1: Exploring Twitter data / Building basic graphs from the data  | 
		 Lab 3: Measuring Centrality, Betweeness, etc. Performing clustering on the network | 
		Lab 5: Applying NLTK and doing basic NLP analysis - POS tagger, NERs, relation extractors  | 
		 Lab 8: Psycho linguistic analysis. LIWC, MRC, sensicon, speech-act. big 5 personality traits  | 
		  | 
	
	
		|  17:00 to 17:15  | 
		
		  | 
		  | 
		  | 
		Buffer / Office Hours  | 
		  | 
		
		
	
	
		|  17:15 to 18:00  | 
		
		Buffer / Lab   | 
		Buffer / Lab  | 
		 Lab 6: Sentiment analysis / other NLP analysis  | 
		 | 
		
	
	
		|  18:00 to 18:30  | 
		 Cultural Program  | 
		  | 
	
	
		|  18:30 onwards  | 
		
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		  | 
		  | 
		
		
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