Artificial empathy : using vector space modeling and mixed scope alignment to infer emotional states of characters in stories
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016.
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Thesis |
| Language: | eng |
| Published: |
Massachusetts Institute of Technology
2016
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/1721.1/106032 |
| _version_ | 1811084191982419968 |
|---|---|
| author | Alexander, Ryan Cherian |
| author2 | Patrick Henry Winston. |
| author_facet | Patrick Henry Winston. Alexander, Ryan Cherian |
| author_sort | Alexander, Ryan Cherian |
| collection | MIT |
| description | Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016. |
| first_indexed | 2024-09-23T12:46:49Z |
| format | Thesis |
| id | mit-1721.1/106032 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T12:46:49Z |
| publishDate | 2016 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/1060322019-04-10T21:39:44Z Artificial empathy : using vector space modeling and mixed scope alignment to infer emotional states of characters in stories Alexander, Ryan Cherian Patrick Henry Winston. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016. This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections. Cataloged from student-submitted PDF version of thesis. Includes bibliographical references (pages 61-62). Emotions greatly influence human cognition. Therefore, if we are to develop artificially intelligent programs that work closely with humans, we must ensure that they are capable of empathy. In an effort to realize the goal of emotionally aware programs, I created a multi-corpus informed vector space model to determine the emotions evoked by individual terms. I then combined that information with the semantic parse trees produced by the Genesis Story Understanding System to ascertain the emotions evoked by a single sentence. Additionally, I used the story aligner within Genesis to determine the emotions evoked by stories described over multiple sentences. My program can infer characters' emotional states based on their descriptions, the situations they are involved in, and the actions they perform. For instance, it infers that Alice is joyful from the sentence "Alice wins an award" and that James is probably experiencing sadness from the sentence "James is lonely." Additionally, the program can identify that Austin is likely surprised if "Austin has to take a test" and "Austin doesn't know about the test." by Ryan Cherian Alexander. M. Eng. 2016-12-22T15:48:36Z 2016-12-22T15:48:36Z 2016 2016 Thesis http://hdl.handle.net/1721.1/106032 965196011 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 62 pages application/pdf Massachusetts Institute of Technology |
| spellingShingle | Electrical Engineering and Computer Science. Alexander, Ryan Cherian Artificial empathy : using vector space modeling and mixed scope alignment to infer emotional states of characters in stories |
| title | Artificial empathy : using vector space modeling and mixed scope alignment to infer emotional states of characters in stories |
| title_full | Artificial empathy : using vector space modeling and mixed scope alignment to infer emotional states of characters in stories |
| title_fullStr | Artificial empathy : using vector space modeling and mixed scope alignment to infer emotional states of characters in stories |
| title_full_unstemmed | Artificial empathy : using vector space modeling and mixed scope alignment to infer emotional states of characters in stories |
| title_short | Artificial empathy : using vector space modeling and mixed scope alignment to infer emotional states of characters in stories |
| title_sort | artificial empathy using vector space modeling and mixed scope alignment to infer emotional states of characters in stories |
| topic | Electrical Engineering and Computer Science. |
| url | http://hdl.handle.net/1721.1/106032 |
| work_keys_str_mv | AT alexanderryancherian artificialempathyusingvectorspacemodelingandmixedscopealignmenttoinferemotionalstatesofcharactersinstories |