Vittel social media metrics - SentiCharts by SentiOne

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Vittel

Beverages

#29

0.33

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11/21 – 12/20

Vittel

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

Date	Mentions
Nov 21, 2024	1
Nov 22, 2024	0
Nov 23, 2024	1
Nov 24, 2024	3
Nov 25, 2024	2
Nov 26, 2024	0
Nov 27, 2024	1
Nov 28, 2024	7
Nov 29, 2024	2
Nov 30, 2024	1
Dec 1, 2024	0
Dec 2, 2024	1
Dec 3, 2024	0
Dec 4, 2024	0
Dec 5, 2024	0
Dec 6, 2024	1
Dec 7, 2024	1
Dec 8, 2024	1
Dec 9, 2024	0
Dec 10, 2024	2
Dec 11, 2024	2
Dec 12, 2024	1
Dec 13, 2024	5
Dec 14, 2024	1
Dec 15, 2024	1
Dec 16, 2024	3
Dec 17, 2024	1
Dec 18, 2024	1
Dec 19, 2024	4
Dec 20, 2024	0

11/21 – 12/20

Vittel

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

Sentiment	Mentions	Percent
positive	1	6.25%
negative	2	12.5%
neutral	13	81.25%
total	16	100%

11/21 – 12/20

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
Websites	27	62.79%
Instagram	1	2.33%
Facebook	6	13.95%
Twitter	9	20.93%

11/21 – 12/20

Vittel

Poor. The result is 0.33.
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Shows the ratio of positive to negative statements in a given time period.

BHI
0.33

11/21 – 12/20

Vittel

11/21 – 12/20

Vittel

~ 16 k Total

10 Positive

~ 4 k Negative

~ 6 k Webpages

~ 10 k Social Media

Sources breakdown

– Blogs

– Forums

~ 6 k Websites

10 Instagram

700 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	10
Negative	4000
Total	16086

Source	Reach
Webpages	6473
Social Media	9710
Total	16086

Source	Reach
Blogs	–
Forums	–
Websites	6473
Instagram	10
Facebook	700
Video	–
Reviews	–
Twitter	9000
TikTok	–

11/21 – 12/20

Vittel

43 Total

1 Positive

2 Negative

48%Up

Sources breakdown

– Blogs

– Forums

27 Websites

1 Instagram

6 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.