Please enter your text in english* for analysis or leave default one.


Have stayed here off and on over several years. great location - access to trains, underground and buses plus good walking distance to Westminster. l However, as a single traveller end up paying for small, narrI've got the velvetiser one 😊can't wait to start it! Would love a chocolate to eat alongside it each day but the budget wouldn't stretch that far! 15 wReply Caramel milk chocolate pls! 15 wReply I’d love to try mine that I ordered but was not in the box with my velvetiser! 14 wReply This is such a disappointing advent calendar. Each chocolate is covered in bloom. They are presented upside down when you open the doors and they are tasteless. Lesson learned, I won’t be buying this brand again. 11 wReply This is such a disappointing advent calendar. Each chocolate is covered in bloom. They are presented upside down when you open the doors and they are tasteless. Lesson learned, I won’t be buying this brand again. 11 wReply great cashback https://www.topcashback.co.uk/ref/
would n't stretch that cashback https great location access wreply this they are tasteless buses plus love a chocolate good walking distance good great disappointing love

This document is: positive (+0.55)      Magnitude: 9.72

Subjectivity: subjective
Score Range
negative neutralpositive

-1
-0.25
+0.25
+1
Try sentiment analysis in Excel or Google Sheets
(no programming required)
Train your own document
classification or extraction model
Train your own sentiment model
using our SMTT Tool
Excel Add-In  Google Sheets Add-on extraction model smtt tool

Detected Entities Type Magnitude Sentiment Score
Westminster LOC 0.07 +0.232

Detected Themes Magnitude Sentiment Score
good walking distance 0.58 +0.898
buses plus 0.97 +0.690
wreply this 0.88 +0.609
great location access 0.81 +0.602
cashback https 0.59 +0.543
they are tasteless 0.88 -0.676
would n't stretch that 0.73 -0.539
love a chocolate 0.92 -0.895

Detected Keywords Magnitude Sentiment Score
love 0.989 +0.995
great 0.978 +0.992
good 0.988 +0.743
such 0.001 +0.250
tasteless 0.001 -0.250
wait 0.002 -0.250
single 0.002 -0.250
stayed 0.001 +0.250
disappointing 0.972 -0.993
Core sentences Magnitude Sentiment Score
Have stayed here off and on over several years. 0.29 0.178
Great location access to trains underground and buses plus good walking distance to Westminster. 0.92 +0.630
l However as a single traveller end up paying for small narrI've got the velvetiser one 😊can't wait to start it! 0.68 -0.526
Would love a chocolate to eat alongside it each day but the budget wouldn't stretch that far! 0.73 -0.543
15 wReply Caramel milk chocolate pls! 0.53 -0.117
15 wReply I’d love to try mine that I ordered but was not in the box with my velvetiser! 0.45 0.137
14 wReply This is such a disappointing advent calendar. 0.68 +0.450
Each chocolate is covered in bloom. 0.46 0.135
They are presented upside down when you open the doors and they are tasteless. 0.67 -0.530
Lesson learned I won’t be buying this brand again. 0.78 -0.543
11 wReply This is such a disappointing advent calendar. 0.85 -0.530
Each chocolate is covered in bloom. 0.46 0.135
They are presented upside down when you open the doors and they are tasteless. 0.67 -0.530
Lesson learned I won’t be buying this brand again. 0.78 -0.543
11 wReply great cashback https: www. 0.72 +0.562
topcashback. 0.01 0.247
uk ref 0.03 0.243
Parts of the speech
you open the doors Subject: you
Action: open
Object: the doors (+0.153)
you open the doors Subject: you
Action: open
Object: the doors (+0.153)

Auto categories [IAB QAG taxonomy]
Category Score
Hotels and Motels 0.993

No user categories detected



About analysis

  • Once analysis is finished, you will see the overall score for the document and extracted thematic concepts, entities, keyword phrases, auto categories..
  • In longer documents, entity/theme sentiment is in general more useful.
  • The better input text is formatted (properly placed commas, spaces between sentences etc.), the faster and more accurate analysis will be returned.
  • Twitter mode is usually more accurate for short, unformatted contents. Includes irony, slang and abbreviation detection. In this mode additional text cleaning is performed, inluding removal of usernames (starting from @), links, numbers and special characters. Hashtags are being left for analysis.
  • Magnitude is the volume of sentiment expressed regardless of sentiment polarity, it can be used to detect strength of emotions or fine-tune sentiment polarity. It ranges from 0 to ∞.
* No personal data is to be entered into our demo system.