Sentity by Tracx - Comparing The Old and New

A comparison of Tracx's proprietary sentiment tracking system, Sentity, compared to Legacy Sentiment systems.

1. Legacy Sentiment vs Sentity
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Legac y Sentimen t
Sentimen t
Scoring
Sentimen t
Types
Visualiza tions
Setup
Training the
System
Sentity
Occurs at the document level;
each text-based piece of content
reviewed and scored positive,
negative, neutral overall based on
language cues.
terms and phrases are picked out within text-based documents. Each is assigned a positive, negative, or neutral score based on language cues.
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At the document level:
Positive
Negative
Neutral
Total % distribution chart in the
Overview dashboard.
Sentiment over time (daily
distribution) in the Audience tab.
Engine is automatically enabled
across Tracx.
Manually score posts that are
incorrectly labeled (i.e. change
positive to neutral). A new
pieces of content scored (33 or each sentiment type) that factors in the user manual changes in the
automatic scoring.
Manually score posts that are incorrectly labeled. Train the system by editing the
sentiment dictionary. If a phrase is
being tagged positive, but should be neutral, enter the phrase in the dictionary and indicate the desired sentiment type.
At the entity level
Positive
Negative
Neutral
At the document level:
Positive
Negative
Neutral
Mixed
Total % distribution chart in the
Overview dashboard.
Sentiment over time (daily
distribution) in the Audience tab.
Dedicated Sentiment dashboard
showing sentiment over time, entity
trends, sentiment colored word cloud,
total sentiment distribution.
Entity Discovery Engine
Comparison engine to look at 2 data
a side-by-side view
Engine is turned on by a Tracx
admin. At least one entity must be
added in the Entity Management
section of Settings.