Can data science help us find what makes a hit television show
(eVideo)
Contributors
Published
[Los Angeles, California] : Data Science Salon, 2019.
Format
eVideo
Physical Desc
1 online resource (1 streaming video file (31 min., 16 sec.))
Status
Description
Loading Description...
Also in this Series
Checking series information...
More Details
Language
English
Notes
General Note
Title from resource description page (Safari, viewed October 6, 2020).
General Note
Place of publication from title screen.
Participants/Performers
Presenter, Shilpi Bhattacharyya.
Description
"Presented by Shilpi Bhattacharyya, Data Scientist at IBM. Who does not love the American television sitcom - Friends? And we definitely want to learn what makes this sitcom so popular. Can the most important aspects of some of the top shows of all the times be related? Is there something common which makes them a success? If not, can we find out and draw a correlation amongst them? In this talk, I would demonstrate the essential elements of few of these most successful sitcoms which have helped them connect with the audience at such a massive scale around the world. I would use data science and machine learning techniques as sentiment analysis, data visualization and correlation graphs on the transcripts available for these sitcoms to achieve the results. I would also focus briefly on the favorite characters. I believe this work would be able to bring out a concrete answer to the apparent question amongst the makers to understand the reasons which makes a hit show, with evidence backed up by data science."--Resource description page
Citations
APA Citation, 7th Edition (style guide)
Bhattacharyya, S. (2019). Can data science help us find what makes a hit television show . Data Science Salon.
Chicago / Turabian - Author Date Citation, 17th Edition (style guide)Bhattacharyya, Shilpi. 2019. Can Data Science Help Us Find What Makes a Hit Television Show. Data Science Salon.
Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)Bhattacharyya, Shilpi. Can Data Science Help Us Find What Makes a Hit Television Show Data Science Salon, 2019.
MLA Citation, 9th Edition (style guide)Bhattacharyya, Shilpi. Can Data Science Help Us Find What Makes a Hit Television Show Data Science Salon, 2019.
Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.
Staff View
Grouped Work ID
a487238f-4eaf-de34-80a3-cdbb4f48fcc3-eng
Grouping Information
| Grouped Work ID | a487238f-4eaf-de34-80a3-cdbb4f48fcc3-eng |
|---|---|
| Full title | can data science help us find what makes a hit television show |
| Author | data science salon |
| Grouping Category | movie |
| Last Update | 2024-09-06 16:31:08PM |
| Last Indexed | 2024-09-21 04:08:32AM |
Marc Record
| First Detected | Jul 29, 2024 04:05:45 PM |
|---|---|
| Last File Modification Time | Sep 06, 2024 04:41:33 PM |
MARC Record
| LEADER | 02943cgm a2200409 i 4500 | ||
|---|---|---|---|
| 001 | on1199322895 | ||
| 003 | OCoLC | ||
| 005 | 20240830103855.0 | ||
| 006 | m o c | ||
| 007 | cr cna|||||||| | ||
| 007 | vz czazuu | ||
| 008 | 201008s2019 cau032 o o vleng d | ||
| 019 | |a 1436835853 | ||
| 035 | |a (OCoLC)1199322895|z (OCoLC)1436835853 | ||
| 037 | |a CL0501000151|b Safari Books Online | ||
| 040 | |a UMI|b eng|e rda|e pn|c UMI|d OCLCF|d OCLCQ|d OCLCO|d OCLCL | ||
| 049 | |a FMGA | ||
| 050 | 4 | |a Q325.5 | |
| 245 | 0 | 0 | |a Can data science help us find what makes a hit television show /|c Data Science Salon. |
| 264 | 1 | |a [Los Angeles, California] :|b Data Science Salon,|c 2019. | |
| 300 | |a 1 online resource (1 streaming video file (31 min., 16 sec.)) | ||
| 336 | |a two-dimensional moving image|b tdi|2 rdacontent | ||
| 337 | |a computer|b c|2 rdamedia | ||
| 337 | |a video|b v|2 rdamedia | ||
| 338 | |a online resource|b cr|2 rdacarrier | ||
| 500 | |a Title from resource description page (Safari, viewed October 6, 2020). | ||
| 500 | |a Place of publication from title screen. | ||
| 511 | 0 | |a Presenter, Shilpi Bhattacharyya. | |
| 520 | |a "Presented by Shilpi Bhattacharyya, Data Scientist at IBM. Who does not love the American television sitcom - Friends? And we definitely want to learn what makes this sitcom so popular. Can the most important aspects of some of the top shows of all the times be related? Is there something common which makes them a success? If not, can we find out and draw a correlation amongst them? In this talk, I would demonstrate the essential elements of few of these most successful sitcoms which have helped them connect with the audience at such a massive scale around the world. I would use data science and machine learning techniques as sentiment analysis, data visualization and correlation graphs on the transcripts available for these sitcoms to achieve the results. I would also focus briefly on the favorite characters. I believe this work would be able to bring out a concrete answer to the apparent question amongst the makers to understand the reasons which makes a hit show, with evidence backed up by data science."--Resource description page | ||
| 650 | 0 | |a Machine learning.|0 http://id.loc.gov/authorities/subjects/sh85079324 | |
| 650 | 0 | |a Information visualization.|0 http://id.loc.gov/authorities/subjects/sh2002000243 | |
| 650 | 0 | |a Electronic data processing|x Structured techniques.|0 http://id.loc.gov/authorities/subjects/sh85042299 | |
| 650 | 0 | |a Situation comedies (Television programs)|0 http://id.loc.gov/authorities/subjects/sh2007009497 | |
| 700 | 1 | |a Bhattacharyya, Shilpi,|e on-screen presenter. | |
| 710 | 2 | |a Data Science Salon,|e publisher. | |
| 758 | |i has work:|a Can Data Science Help Us Find What Makes a Hit Television Show (MovingImage)|1 https://id.oclc.org/worldcat/entity/E39PD3gWjR9DqqhgcCxrCtJtw3|4 https://id.oclc.org/worldcat/ontology/hasWork | ||
| 856 | 4 | 0 | |u https://www.aclib.us/OReilly |