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  Digital Catalogue for Technology and Products Development


   Technology and Product Development

    Basic Information

Technology developed: SOTagger - Towards contextually tagging stackoverflow posts (TP19768503946)
Category: Product (Hardware/Material/Software)
Details of Inventor(s):
Inventor Institution/Organization/Company Department Designation
Sridhar Chimalakonda IIT Tirupati
Technical Application Area: Information Technology
If 'Other', please specify:
Artificial Intelligence, Machine Learning and Natural Language Processing
Please give more details of new technical application area:
Organization(s):
Indian Institute of Technology (IIT) Tirupati
Affiliated Ministry: MeitY, Govt. of India
Type of technology development: Indigenous
Does the technology help in replacing any import items currently
procured from outside India?
No
Does the technology have export potential? No
Category of Technology developed: Immediate Deployment
Stage of Development: Prototype Level
Please describe in detail including the TRL Level:
Prototype

    Abstract:

Applications: There is an ever increasing growth in the use of Q&A websites such as Stack Overflow (SO), so are the number of posts on them. These websites serve as knowledge sharing platforms where Subject Matter Experts (SMEs) and developers answer questions posted by other users. It is effort intensive for developers to navigate to right posts because of the large volume of posts on the platform, despite the presence of existing tags, that are based on technologies. Tagging these posts based on their context and purpose might help developers and SMEs in easily identifying questions they wish to answer and also in identifying contextually similar posts. To support this idea, we propose SOTagger as a prototype plug-in for Stack Overflow to tag questions contextually. We have considered SO data provided on SOTorrent and automated the identification of 6 categories of questions using Latent Dirichlet Allocation. We have also manually verified relevance of these categories. Using these categories and dataset, we have built a classification model to classify a post into one of these six categories using Support Vector Machine. We have evaluated SOTagger by conducting a user survey with 32 developers. The preliminary results are promising with about 80% developers recommending the plugin to others
Advantages:

    Technology Inputs:

Imported Equipment/Spare Parts:
Equipment/Spare Parts Year ITC-HS Code
NA
Indigenous Equipment/Spare Parts:
Equipment/Spare Parts Year ITC-HS Code
NA
Imported Raw Materials:
Raw Materials Year ITC-HS Code
NA
Indigenous Raw Materials:
Raw Materials Year ITC-HS Code
NA
Existing R&D Facilities used:
Facilities Year ITC-HS Code
NA

    R&D Investment:

R&D investment (Rs. in Lakhs):                    
Indian Source (Rs.) Foreign Source (Rs.) Year
0 0 NA

   Patents & Publications:

Patents:
Filed Patents (No.) Granted Patents (No.) Year
0 0 NA
Publications:
Submitted (No.) Published (No.) Year
0 1 2019-20

    Commercialization Potential:

Who are the Potential Licensees?
What commercially available products address
the same problem?
Company Product Problem Addressed
Would you like to develop this invention further with
corporate research support?
Yes
Would you be interested in participating in cluster based
programs for commercialization research or business
planning for your invention?
Yes
      Submitted by: B Koteswara Rao Date of Submission: 5-8-2020



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