Difference between revisions of "Group04 Project Findings"
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| − | + | ===SGAG FB Post=== | |
| + | * The number of comment is drastically lesser than the number of reaction, which shows that the consumers have minimal engagement with the content. | ||
| + | * Consumers generate a small number of negative reaction which is consistent with the company's mission - to generate positive content. | ||
| + | * Identify that consumers generate more reaction when SGAG generates videos that ride on the hype, ie. Pokemon Go. | ||
| + | * The user engagement is higher for videos as compared to memes, probably due to the nature of the video, that has more information and content. | ||
| + | |||
| + | ===SGAG FB Comment=== | ||
| + | * Identify that authors who made a well-liked comment (high number of likes) are generally social influencers with high levels of degree of centrality. | ||
| + | * Generally, the commentators that reply the most often to the comments that were made in the SGAG's Facebook post are quite dispersed. However, there are a few notable commentators that have replied more as compared to the rest and this would be crucial for SGAG to determine the network strength. | ||
| + | |||
| + | ===Youtube SGAG & Competitors=== | ||
| + | * SGAG's video performance in terms of the number of replies is comparable to TheSmartLocals and Night Owl Cinematics. | ||
| + | * However, SGAG falls short in terms of the number of likes for the comment received. TheSmartLocal has the highest number of likes, followed by Night Owl Cinematics. | ||
| + | * SGAG is relatively less active in commenting and replying their youtube videos. | ||
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Revision as of 01:39, 10 January 2018
| GROUP4 |
 HOMEPAGE
|
 PROJECT OVERVIEW
|
 PROJECT FINDINGS
|
 PROJECT MANAGEMENT
|
 DOCUMENTATION
|
 ANALY482 MAIN
|
| PROPOSAL | INTERIM | FINAL |
|---|
Contents
Data
Data Scraping
To fulfil the objectives mentioned, we scraped data from platforms whereby SGAG have a strong presence on, namely Facebook and YouTube.
Facebook Posts
We used Facebook's Graph API to scrape 3,806 SGAG Facebook posts. A sample of the content can be seen below:
| status_id | status_message | status_type | status_link | status_published | num_reactions | num_comments |
|---|---|---|---|---|---|---|
| 378167172198277_1975245405823771 | We all know someone who takes a lot of sick leaves _Ù÷â | photo | https://www.facebook.com/sgag.sg/photos/a.378177495530578.106131.378167172198277/1975244575823854/?type=3 | 29/11/17 6:00 | 279 | 16 |
| num_shares | num_likes | num_loves | num_wows | num_hahas | num_sads | num_angrys |
|---|---|---|---|---|---|---|
| 73 | 197 | 0 | 1 | 80 | 1 | 0 |
In addition, we would be creating a new feature, the number of positive reactions. This is defined as the sum of total number of ‘likes’, number of ‘loves’, number of ‘wows’ and number of ‘hahas’.
Facebook Comments
Next, we scraped 21,940 SGAG Facebook comments and a sample of the content can be seen below:
| comment_id | status_id | parent_id | comment_message | comment_author | comment_published | comment_likes |
|---|---|---|---|---|---|---|
| 1975245405823771_1980256198656025 | 378167172198277_1975245405823771 | "Boss, I just got into an accident and broke my arm, fractured a rib, and I might have internal bleeding"
Boss: "Ok la. So what time you coming into the office later?" |
Leorenzo Joseph | 29/11/17 6:06 | 5 |
YouTube
Using an online web scraper, we scraped the first 10,000 comments for Night Owl Cinematic and TheSmartLocal's YouTube videos. In addition, we also scarped the first 1,000 comments for SGAG YouTube videos. A sample of the content can be seen below:
| id | user | date | commentText | likes | hasReplies | numberOfReplies |
|---|---|---|---|---|---|---|
| UgzkUyiEd5tMlCq4Nwh4AaABAg | Frentzen | 29 minutes ago | Single better | 0 | FALSE | 0 |
Data Cleaning
In progress
Understanding Data
SGAG FB Post
- The number of comment is drastically lesser than the number of reaction, which shows that the consumers have minimal engagement with the content.
- Consumers generate a small number of negative reaction which is consistent with the company's mission - to generate positive content.
- Identify that consumers generate more reaction when SGAG generates videos that ride on the hype, ie. Pokemon Go.
- The user engagement is higher for videos as compared to memes, probably due to the nature of the video, that has more information and content.
SGAG FB Comment
- Identify that authors who made a well-liked comment (high number of likes) are generally social influencers with high levels of degree of centrality.
- Generally, the commentators that reply the most often to the comments that were made in the SGAG's Facebook post are quite dispersed. However, there are a few notable commentators that have replied more as compared to the rest and this would be crucial for SGAG to determine the network strength.
Youtube SGAG & Competitors
- SGAG's video performance in terms of the number of replies is comparable to TheSmartLocals and Night Owl Cinematics.
- However, SGAG falls short in terms of the number of likes for the comment received. TheSmartLocal has the highest number of likes, followed by Night Owl Cinematics.
- SGAG is relatively less active in commenting and replying their youtube videos.
Methodologies
Predicting performance of content
Dashboarding
- We would perform Sentiment Analysis on the first 1,000 SGAG Facebook comments and report a summary statistics of these sentiment scores.
Document Clustering
In progress.
Proposed Deliverables
In progress.
