Teekanne social media metrics - SentiCharts by SentiOne

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Teekanne

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03/23 – 04/21

Teekanne

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

Date	Mentions
Mar 23, 2025	0
Mar 24, 2025	0
Mar 25, 2025	1
Mar 26, 2025	0
Mar 27, 2025	0
Mar 28, 2025	0
Mar 29, 2025	0
Mar 30, 2025	0
Mar 31, 2025	2
Apr 1, 2025	0
Apr 2, 2025	0
Apr 3, 2025	0
Apr 4, 2025	1
Apr 5, 2025	0
Apr 6, 2025	0
Apr 7, 2025	1
Apr 8, 2025	0
Apr 9, 2025	0
Apr 10, 2025	0
Apr 11, 2025	1
Apr 12, 2025	2
Apr 13, 2025	1
Apr 14, 2025	0
Apr 15, 2025	0
Apr 16, 2025	1
Apr 17, 2025	0
Apr 18, 2025	0
Apr 19, 2025	0
Apr 20, 2025	1
Apr 21, 2025	0

03/23 – 04/21

Teekanne

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

Sentiment	Mentions	Percent
positive	0	0%
negative	0	0%
neutral	11	100%
total	11	100%

03/23 – 04/21

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	2	18.18%
Facebook	1	9.09%
Twitter	6	54.55%
TikTok	2	18.18%

03/23 – 04/21

Teekanne

Bad. The result is 0.00.
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Shows the ratio of positive to negative statements in a given time period.

BHI
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03/23 – 04/21

Teekanne

03/23 – 04/21

Teekanne

~ 2 k Total

0 Positive

0 Negative

0 Webpages

~ 2 k Social Media

Sources breakdown

– Blogs

– Forums

– Websites

10 Instagram

200 Facebook

– Video

– Reviews

~ 2 k Twitter

10 TikTok

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

Sentiment	Reach
Positive	0
Negative	0
Total	1670

Source	Reach
Webpages	0
Social Media	2210
Total	1670

Source	Reach
Blogs	–
Forums	–
Websites	–
Instagram	10
Facebook	200
Video	–
Reviews	–
Twitter	2000
TikTok	10

03/23 – 04/21

Teekanne

11 Total

0 Positive

0 Negative

120%Up

Sources breakdown

– Blogs

– Forums

– Websites

2 Instagram

1 Facebook

– Video

– Reviews

6 Twitter

2 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.