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Pulkit Mehndiratta
Jaypee Institute of Information Technology
Deep learningData miningSarcasmComputer scienceSocial network
17Publications
4H-index
50Citations
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Publications 21
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#1Pulkit Mehndiratta (JIIT: Jaypee Institute of Information Technology)H-Index: 4
#2Devpriya Soni (JIIT: Jaypee Institute of Information Technology)H-Index: 3
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#1Mohit GuptaH-Index: 1
#2Pulkit MehndirattaH-Index: 4
Everyday data is being produced at a mind-boggling rate and at current pace, we are generating more than 2.5 quintillion bytes of data each day. With more data, there comes the chance of generating and understanding more useful information out of it. With this view in mind, we are presenting our work on Quick Draw dataset. It is a repository of approximately more than 50 million hand-drawn drawings of about 345 different objects, contributed by over 15 million users. The work we have presented i...
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#1Pulkit Mehndiratta (JIIT: Jaypee Institute of Information Technology)H-Index: 4
#2Devpriya Soni (JIIT: Jaypee Institute of Information Technology)H-Index: 3
AbstractAround the world, most of the proposed techniques for the identification of sarcasm either take the utterance in isolation or these methods only perform the categorization of the textual da...
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#1Mohit Gupta (JIIT: Jaypee Institute of Information Technology)H-Index: 1
#2Pulkit Mehndiratta (JIIT: Jaypee Institute of Information Technology)H-Index: 4
Last. Akanksha Bhardwaj (JIIT: Jaypee Institute of Information Technology)H-Index: 1
view all 3 authors...
With the increase in the advancement of technology, the size of multimedia content generated is increasing every day. Handling and management of this data to extract the patterns result in a more optimized and efficient way is the need of the hour. In this proposed work, we have presented techniques to classify the stroke-based hand-drawn object. We have used the Quick Draw dataset which is a repository of approximately 50 million hand-drawn drawings of 345 different objects. Our research presen...
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#1Mohit Gupta (JIIT: Jaypee Institute of Information Technology)H-Index: 1
#2Ayushi Asthana (JIIT: Jaypee Institute of Information Technology)H-Index: 1
Last. Pulkit Mehndiratta (JIIT: Jaypee Institute of Information Technology)H-Index: 4
view all 4 authors...
With the increase in the number of internet users, there is a deluge of traffic over the web, handling Internet traffic with much more optimized and efficient approach is the need of the hour. In this work, we have tried to forecast Internet traffic on TCP/IP network using web traffic data of Wikipedia articles, provided by Kaggle (https://www.kaggle.com/). We work on the stationarity of time series and use mathematical concepts of log transformation, differencing and decomposition in order to m...
1 CitationsSource
Nov 21, 2018 in NGCT (International Conference on Next Generation Computing Technologies)
#1Pulkit Mehndiratta (JIIT: Jaypee Institute of Information Technology)H-Index: 4
#2Devpriya Soni (JIIT: Jaypee Institute of Information Technology)H-Index: 3
With the increase in the penetration of the Internet and the widespread acceptability of social networking sites, more people are coming forward to express their views and opinion about various topics. This has given a huge boost to the textual and multimedia content generated by these websites, giving opportunities to researchers and analysts to nd and generate patterns from this data. The problem of identification of sarcasm in textual data is quite challenging due to lack of annotation, inton...
Source
#1Mehul Gupta (JIIT: Jaypee Institute of Information Technology)
#2Aditya Bakliwal (JIIT: Jaypee Institute of Information Technology)
Last. Pulkit Mehndiratta (JIIT: Jaypee Institute of Information Technology)H-Index: 4
view all 4 authors...
With technological advancements and increment in content based advertisement, the use of Short Message Service (SMS) on phones has increased to such a significant level that devices are sometimes flooded with a number of spam SMS. These spam messages can lead to loss of private data as well. There are many content-based machine learning techniques which have proven to be effective in filtering spam emails. Modern day researchers have used some stylistic features of text messages to classify them...
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#1Pulkit Mehndiratta (JIIT: Jaypee Institute of Information Technology)H-Index: 4
1 CitationsSource
Dec 1, 2017 in CIT (Computer and Information Technology)
#1Ritu Banga (JIIT: Jaypee Institute of Information Technology)H-Index: 1
#2Pulkit Mehndiratta (JIIT: Jaypee Institute of Information Technology)H-Index: 4
We have conducted empirical tests on the different NLTK Part of Speech taggers. Corpora from different users on Twitter has been collected and used for the evaluation for the purpose of these taggers. These taggers are used for experimentation on different data size and their results have been compared on the basis of their accuracy and total time taken for training and testing the dataset. Based on the results, we have selected the best tagger among all the taggers for tagging short messages su...
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With the ever increasing acceptance of Online Social Networks (OSNs), a new dimension has evolved for communication amongst humans. People now share continuous streams of messages to contribute their interests, indications, discuss activities, status, latest trends and much more. This gives an opportunity to monitor and mine the opinions of a large number of online active population in real time. On one side where researchers can find out a pattern to judge the mood of the user, a serious proble...
3 CitationsSource
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