Social Media
17 columns
200 rows
8 formats

Geotagged Social Sentiment Data

This dataset contains real-time, geo-tagged social media posts annotated with sentiment scores and labels, along with influencer and event tagging. It enables granular location-based sentiment analysis, influencer reach measurement, and event-driven trend tracking for marketing, policy, and research applications.

last updated 23 Oct 2025
by GoMask

The brief that made it

Identifying sentiment hotspots for targeted marketing campaigns

Sample rows

preview · 8 of 200 rows · all 17 columns

post_idstring	sentiment_labelstring	sentiment_scorefloat	influencer_flagboolean	citystring	user_idstring	usernamestring	post_datetimedatetime	latitudefloat	longitudefloat	statestring	countrystring	event_tagstring	reach_estimateinteger	languagestring	platformstring	contentstring
P000001	positive	0.91	true	New York	U10001	nyc_traveler	2024-01-01T00:05:47Z	40.758	-73.9855	NY	USA	#NewYear2024	125000	en	Twitter	Celebrating #NewYear2024 in Times Square! Amazing atmosphere.
P000002	positive	0.84	false	Paris	U10002	parisian_life	2024-01-01T00:25:15Z	48.8584	2.2945	blank	France	#NouvelAnParis	390	fr	Instagram	Bonne année à tous! Feux d'artifice à la Tour Eiffel. #NouvelAnParis
P000003	positive	0.77	true	San Francisco	U10003	tech_guru	2024-02-29T05:12:42Z	37.7749	-122.4194	CA	USA	#LeapYearTech	320000	en	LinkedIn	Excited for the #LeapYearTech event: AI breakthroughs coming soon.
P000004	positive	0.5	false	blank	U10004	mountainman	2024-01-01T00:00:00Z	-90	0	blank	Antarctica	#PolarAdventure	0	en	Twitter	Watching sunrise at the South Pole. #PolarAdventure
P000005	positive	0.85	false	Mumbai	U10005	mumbai_foodie	2024-03-21T13:20:11Z	19.076	72.8777	Maharashtra	India	#MumbaiFest	112	en	Instagram	Sampling the best street food at #MumbaiFest. So delicious!
P000006	neutral	0.15	false	London	U10006	london_views	2024-01-15T09:54:32Z	51.5074	-0.1278	blank	UK	#LondonWeather	45	en	Twitter	Foggy morning at Tower Bridge today. #LondonWeather
P000007	positive	0.69	false	Tokyo	U10007	tokyo_snap	2024-04-14T18:22:23Z	35.6895	139.6917	blank	Japan	#SakuraTokyo	238	ja	Instagram	Cherry blossoms are stunning this year! #SakuraTokyo
P000008	negative	-1	false	blank	U10008	blank	2024-03-10T20:00:00Z	0	0	blank	Null Island	blank	0	en	Twitter	Testing social sentiment boundaries at Null Island.
P000009	positive	0.54	false	Moscow	U10009	moscow_travel	2024-02-25T15:30:02Z	55.7558	37.6173	blank	Russia	#MoscowCulture	645	ru	TikTok	Visited the Red Square! #MoscowCulture
P000010	positive	0.59	false	Barcelona	U10010	barcelona_beach	2024-07-01T12:11:18Z	41.3851	2.1734	blank	Spain	#BarcelonaSummer	578	es	Instagram	Sunny day at Barceloneta beach! #BarcelonaSummer
P000011	neutral	0.32	false	Berlin	U10011	berlin_blogger	2024-05-12T08:43:56Z	52.52	13.405	blank	Germany	blank	100	de	Twitter	Morning walk in Berlin's Tiergarten. Peaceful and refreshing.
P000012	positive	0.77	true	Delhi	U10012	delhi_insider	2024-03-21T14:01:47Z	28.6139	77.209	Delhi	India	#DelhiTechSummit	38500	en	LinkedIn	Attending the #DelhiTechSummit today. Inspiring talks ahead!
P000013	positive	0.61	false	Oslo	U10013	oslo_nordic	2024-02-10T10:40:21Z	59.9139	10.7522	blank	Norway	#NordicFun	150	no	Instagram	Winter sports in Oslo are fantastic! #NordicFun
P000014	positive	0.86	true	Sydney	U10014	sydney_explore	2024-01-26T11:23:57Z	-33.8688	151.2093	NSW	Australia	#AusDay2024	165000	en	Instagram	Australia Day parade in Sydney! #AusDay2024
P000015	positive	1	false	blank	U10015	blank	2024-03-05T22:17:19Z	90	135	blank	Arctic Ocean	blank	0	en	Twitter	Extreme location test: North Pole.
P000016	negative	-0.45	false	Los Angeles	U10016	la_daily	2024-01-02T15:40:11Z	34.0522	-118.2437	CA	USA	blank	100	en	Twitter	Traffic on the 405 is a nightmare today.
P000017	neutral	0.34	false	Boston	U10017	boston_biz	2024-01-15T16:07:36Z	42.3601	-71.0589	MA	USA	#BostonStartups	110	en	LinkedIn	Attending the #BostonStartups event this week.
P000018	positive	0.68	false	Miami	U10018	miami_wave	2024-07-15T17:00:00Z	25.7617	-80.1918	FL	USA	#SummerVibes	5020	en	Instagram	Enjoying the sun in Miami Beach. #SummerVibes
P000019	positive	0.38	false	Berlin	U10019	delightful_deli	2024-02-14T12:11:18Z	52.52	13.405	blank	Germany	#LoveInBerlin	55	de	Instagram	Valentine's Day special at our deli. #LoveInBerlin
P000020	neutral	-0.25	false	Madrid	U10020	madrid_rider	2024-03-30T18:27:54Z	40.4168	-3.7038	blank	Spain	#MadridMotion	17	es	Twitter	Riding through Madrid's busy streets. #MadridMotion

What the 200 rows show

from the 200-row sample

Negative (sentiment label) stands out: mean sentiment_score is -0.76, against 0.56 for the rest.

26%influencer_flag = true
0.57median sentiment_score
5platforms
8states
8languages
17countries

sentiment_score200 rows, in bands of 0.2

Median 0.57, from -1.0 to 1.0.

city175 rows with a value · 25 left blank

Paris19
Moscow16
Delhi15
Berlin13
New York12
London12
Tokyo12
Barcelona10
Sydney10
Madrid9

17 columns by typefrom the column list below

string 11
integer 1
float 3
datetime 1
boolean 1

Columns

17 columns in four groups

blueprint · 17 columns
column	type	description	example
Text 11 columns
`post_id`	string	Unique identifier for the social media postunique	P000001
`user_id`	string	Unique identifier for the user who created the post	U10001
`username`	string	Username or handle of the post creatoroptional	nyc_traveler
`content`	string	Text content of the social media post	Morning walk in Lyon.
`sentiment_label`	string	Categorical sentiment label (e.g., positive, neutral, negative)positive · neutral · negative	positive
`city`	string	City where the post was geotaggedoptional	New York
`state`	string	State or region where the post was geotagged8 states · optional	NY
`country`	string	Country where the post was geotagged	USA
`event_tag`	string	Event or hashtag associated with the post, if anyoptional	#NewYear2024
`language`	string	Language code of the post content (e.g., en, es, fr)8 languages · optional	en
`platform`	string	Social media platform where the post originated (e.g., Twitter, Instagram)5 platforms	Twitter
Numbers 4 columns
`sentiment_score`	float	Numerical sentiment score assigned to the post (e.g., -1.0 to 1.0)-1 to 1	0.91
`latitude`	float	Latitude coordinate of the post's geotag-90 to 90	40.758
`longitude`	float	Longitude coordinate of the post's geotag-180 to 180	-73.9855
`reach_estimate`	integer	Estimated reach or audience size for the post0 or more · optional	125000
Dates and times 1 column
`post_datetime`	datetime	Date and time when the post was created	2024-01-01T00:05:47Z
True or false 1 column
`influencer_flag`	boolean	Indicates if the user is classified as an influenceroptional	true

Use it for

A social media dashboard
The influencer_flag rate, sentiment_score by sentiment_label and a breakdown of city. Excel, Power BI or Tableau.
Why do the 18 negative rows have a mean sentiment_score of -0.76?
A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
Posts200
P0000010.91positive
P0000020.84positive
P0000030.77positive
A software demo
Believable posts with user_id, username and post_datetime to fill a screen in front of a buyer.

This dataset200 rows17 columns

Yours1,000 rows17 columnscity: UK only

blueprint · geotagged-social-sentiment-data

Behind this dataset

Same schema. As many rows as you need.

These 200 rows came out of a blueprint — 17 columns with generation rules behind each one. Open it in Data Factory to retune a column, add your own, wire in foreign keys, and run it at the size you actually need.

Rules it was built with

Each record includes post text, location coordinates, timestamp, and sentiment score
Posts are sampled from public platforms, filtered for English language
Sentiment scores are derived using AI-based NLP models
Influencer posts are flagged and include engagement metrics
Spam, bot, and duplicate posts are excluded from the dataset

Rows1,000 rows10,000 rows100,000 rows1,000,000 rows

Open the blueprint in Data Factory

1 credit per row. Preview 20 rows free. Buy rows for the full run.

Exports: CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence: yours to use, including commercially
API slug: geotagged-social-sentiment-data

What should your data show?

No signup. No card.

Sample rows

What the 200 rows show

Columns

Use it for

A social media dashboard

A root-cause class exercise

A software demo

Make it yours.

Same schema. As many rows as you need.

More in Social Media

What should your data show?