Teekanne social media metrics - SentiCharts by SentiOne

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10/22 – 11/20

Teekanne

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

Date	Mentions
Oct 22, 2024	0
Oct 23, 2024	0
Oct 24, 2024	0
Oct 25, 2024	1
Oct 26, 2024	0
Oct 27, 2024	0
Oct 28, 2024	0
Oct 29, 2024	1
Oct 30, 2024	0
Oct 31, 2024	0
Nov 1, 2024	0
Nov 2, 2024	0
Nov 3, 2024	1
Nov 4, 2024	0
Nov 5, 2024	1
Nov 6, 2024	0
Nov 7, 2024	1
Nov 8, 2024	0
Nov 9, 2024	0
Nov 10, 2024	0
Nov 11, 2024	0
Nov 12, 2024	0
Nov 13, 2024	0
Nov 14, 2024	0
Nov 15, 2024	0
Nov 16, 2024	2
Nov 17, 2024	0
Nov 18, 2024	0
Nov 19, 2024	1
Nov 20, 2024	0

10/22 – 11/20

Teekanne

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

Sentiment	Mentions	Percent
positive	0	0%
negative	0	0%
neutral	8	100%
total	8	100%

10/22 – 11/20

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
Forums	2	25%
Instagram	2	25%
Twitter	4	50%

10/22 – 11/20

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

10/22 – 11/20

Teekanne

10/22 – 11/20

Teekanne

~ 10 k Total

0 Positive

0 Negative

100 Webpages

~ 14 k Social Media

Sources breakdown

– Blogs

100 Forums

– Websites

~ 5 k Instagram

– Facebook

– Video

– Reviews

~ 9 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	10000

Source	Reach
Webpages	100
Social Media	14000
Total	10000

Source	Reach
Blogs	–
Forums	100
Websites	–
Instagram	5000
Facebook	–
Video	–
Reviews	–
Twitter	9000
TikTok	–

10/22 – 11/20

Teekanne

8 Total

0 Positive

0 Negative

100%Up

Sources breakdown

– Blogs

2 Forums

– Websites

2 Instagram

– Facebook

– Video

– Reviews

4 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.