Teekanne social media metrics - SentiCharts by SentiOne

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Teekanne

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12/06 – 01/04

Teekanne

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

Date	Mentions
Dec 6, 2025	0
Dec 7, 2025	0
Dec 8, 2025	0
Dec 9, 2025	0
Dec 10, 2025	0
Dec 11, 2025	0
Dec 12, 2025	2
Dec 13, 2025	0
Dec 14, 2025	0
Dec 15, 2025	0
Dec 16, 2025	0
Dec 17, 2025	0
Dec 18, 2025	0
Dec 19, 2025	0
Dec 20, 2025	0
Dec 21, 2025	1
Dec 22, 2025	0
Dec 23, 2025	0
Dec 24, 2025	0
Dec 25, 2025	0
Dec 26, 2025	0
Dec 27, 2025	0
Dec 28, 2025	0
Dec 29, 2025	0
Dec 30, 2025	0
Dec 31, 2025	0
Jan 1, 2026	0
Jan 2, 2026	0
Jan 3, 2026	0
Jan 4, 2026	0

12/06 – 01/04

Teekanne

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

Sentiment	Mentions	Percent
positive	0	0%
negative	0	0%
neutral	2	100%
total	2	100%

12/06 – 01/04

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
Websites	2	66.67%
Twitter	1	33.33%

12/06 – 01/04

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

12/06 – 01/04

Teekanne

12/06 – 01/04

Teekanne

~ 4 k Total

0 Positive

0 Negative

600 Webpages

~ 3 k Social Media

Sources breakdown

– Blogs

– Forums

600 Websites

– Instagram

– Facebook

– Video

– Reviews

~ 3 k 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	4000

Source	Reach
Webpages	600
Social Media	3000
Total	4000

Source	Reach
Blogs	–
Forums	–
Websites	600
Instagram	–
Facebook	–
Video	–
Reviews	–
Twitter	3000
TikTok	–

12/06 – 01/04

Teekanne

3 Total

0 Positive

0 Negative

50%Up

Sources breakdown

– Blogs

– Forums

2 Websites

– Instagram

– Facebook

– Video

– Reviews

1 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.