Teekanne social media metrics - SentiCharts by SentiOne

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Teekanne

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01/06 – 02/04

Teekanne

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

Date	Mentions
Jan 6, 2025	0
Jan 7, 2025	5
Jan 8, 2025	1
Jan 9, 2025	0
Jan 10, 2025	0
Jan 11, 2025	2
Jan 12, 2025	0
Jan 13, 2025	0
Jan 14, 2025	1
Jan 15, 2025	0
Jan 16, 2025	1
Jan 17, 2025	0
Jan 18, 2025	0
Jan 19, 2025	1
Jan 20, 2025	0
Jan 21, 2025	0
Jan 22, 2025	1
Jan 23, 2025	0
Jan 24, 2025	0
Jan 25, 2025	0
Jan 26, 2025	0
Jan 27, 2025	0
Jan 28, 2025	0
Jan 29, 2025	0
Jan 30, 2025	0
Jan 31, 2025	1
Feb 1, 2025	0
Feb 2, 2025	1
Feb 3, 2025	0
Feb 4, 2025	0

01/06 – 02/04

Teekanne

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

Sentiment	Mentions	Percent
positive	0	0%
negative	0	0%
neutral	14	100%
total	14	100%

01/06 – 02/04

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
Facebook	5	35.71%
Twitter	9	64.29%

01/06 – 02/04

Teekanne

Bad. The result is 0.00.
It seems your brand needs help. Order an in-depth report to understand your brand’s negative perception.

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

BHI
0.00

01/06 – 02/04

Teekanne

01/06 – 02/04

Teekanne

~ 5 k Total

0 Positive

0 Negative

0 Webpages

~ 5 k Social Media

Sources breakdown

– Blogs

– Forums

– Websites

– Instagram

~ 4 k Facebook

– Video

– Reviews

800 Twitter

– TikTok

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

Sentiment	Reach
Positive	0
Negative	0
Total	4842

Source	Reach
Webpages	0
Social Media	4800
Total	4842

Source	Reach
Blogs	–
Forums	–
Websites	–
Instagram	–
Facebook	4000
Video	–
Reviews	–
Twitter	800
TikTok	–

01/06 – 02/04

Teekanne

14 Total

0 Positive

0 Negative

36%Down

Sources breakdown

– Blogs

– Forums

– Websites

– Instagram

5 Facebook

– Video

– Reviews

9 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.