Teekanne social media metrics - SentiCharts by SentiOne

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Teekanne

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#29

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09/29 – 10/28

Teekanne

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

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

09/29 – 10/28

Teekanne

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

Sentiment	Mentions	Percent
positive	0	0%
negative	0	0%
neutral	1	100%
total	1	100%

09/29 – 10/28

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	1	100%

09/29 – 10/28

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

09/29 – 10/28

Teekanne

200 Total

0 Positive

0 Negative

0 Webpages

200 Social Media

Sources breakdown

– Blogs

– Forums

– Websites

– Instagram

200 Facebook

– Video

– Reviews

– 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	200

Source	Reach
Webpages	0
Social Media	200
Total	200

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

09/29 – 10/28

Teekanne

1 Total

0 Positive

0 Negative

100%Down

Sources breakdown

– Blogs

– Forums

– Websites

– Instagram

1 Facebook

– Video

– Reviews

– 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.