Vittel social media metrics - SentiCharts by SentiOne

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Vittel

Beverages

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01/23 – 02/21

Vittel

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

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

01/23 – 02/21

Vittel

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

Sentiment	Mentions	Percent
positive	0	0%
negative	0	0%
neutral	12	100%
total	12	100%

01/23 – 02/21

Vittel

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
Blogs	1	2.86%
Forums	2	5.71%
Websites	22	62.86%
Twitter	10	28.57%

01/23 – 02/21

Vittel

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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01/23 – 02/21

Vittel

01/23 – 02/21

Vittel

~ 22 k Total

0 Positive

0 Negative

~ 7 k Webpages

~ 14 k Social Media

Sources breakdown

10 Blogs

100 Forums

~ 7 k Websites

– Instagram

– Facebook

– Video

– Reviews

~ 14 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	21800

Source	Reach
Webpages	7428
Social Media	14356
Total	21800

Source	Reach
Blogs	10
Forums	100
Websites	7318
Instagram	–
Facebook	–
Video	–
Reviews	–
Twitter	14356
TikTok	–

01/23 – 02/21

Vittel

35 Total

0 Positive

0 Negative

35%Up

Sources breakdown

1 Blogs

2 Forums

22 Websites

– Instagram

– Facebook

– Video

– Reviews

10 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.