Teekanne social media metrics - SentiCharts by SentiOne

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Teekanne

Beverages

#28

1.00

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02/11 – 03/12

Teekanne

Shows the number of mentions a topic has received over time.

Date	Mentions
Feb 11, 2025	1
Feb 12, 2025	0
Feb 13, 2025	0
Feb 14, 2025	0
Feb 15, 2025	1
Feb 16, 2025	0
Feb 17, 2025	0
Feb 18, 2025	1
Feb 19, 2025	0
Feb 20, 2025	0
Feb 21, 2025	0
Feb 22, 2025	1
Feb 23, 2025	1
Feb 24, 2025	0
Feb 25, 2025	0
Feb 26, 2025	0
Feb 27, 2025	0
Feb 28, 2025	0
Mar 1, 2025	0
Mar 2, 2025	2
Mar 3, 2025	0
Mar 4, 2025	0
Mar 5, 2025	0
Mar 6, 2025	0
Mar 7, 2025	0
Mar 8, 2025	0
Mar 9, 2025	1
Mar 10, 2025	0
Mar 11, 2025	0
Mar 12, 2025	0

02/11 – 03/12

Teekanne

Shows all of the mentions divided by sentiment: positive, neutral, negative.

Sentiment	Mentions	Percent
positive	2	25%
negative	0	0%
neutral	6	75%
total	8	100%

02/11 – 03/12

Teekanne

Shows the ratio between source types for a given project. The source types are as follows: Facebook, Instagram, video, Twitter, blogs, websites, reviews, forums.

Source	Mentions	Percent
Instagram	1	12.5%
Twitter	7	87.5%

02/11 – 03/12

Teekanne

Excellent! The result is 1.00.
Well done! Your brand is loved on the internet!

Shows the ratio of positive to negative statements in a given time period.

BHI
1.00

02/11 – 03/12

Teekanne

02/11 – 03/12

Teekanne

~ 2 k Total

50 Positive

0 Negative

0 Webpages

~ 2 k Social Media

Sources breakdown

– Blogs

– Forums

– Websites

10 Instagram

– Facebook

– Video

– Reviews

~ 2 k Twitter

– TikTok

Displays the reach of all results found within a given project, divided by sentiment and sources.

Sentiment	Reach
Positive	50
Negative	0
Total	2000

Source	Reach
Webpages	0
Social Media	2010
Total	2000

Source	Reach
Blogs	–
Forums	–
Websites	–
Instagram	10
Facebook	–
Video	–
Reviews	–
Twitter	2000
TikTok	–

02/11 – 03/12

Teekanne

8 Total

2 Positive

0 Negative

75%Down

100%Down

Sources breakdown

– Blogs

– Forums

– Websites

1 Instagram

– Facebook

– Video

– Reviews

7 Twitter

– TikTok

An overview of all of the results found for a given project. Aside from showing the total number of mentions, their sentiment, and their source share, it shows how the results have shifted compared to the previous period. Sentiment detection is based on the proprietary algorithm provided by SentiOne.