Emotion, sentiment, and gender

Table 1. Emotion, sentiment, and gender

Name

Values

Description

emotion

false (default), true

If set to true, Voci’s emotion detection feature uses a synthesis of acoustic features and word sentiment scores to determine if a given utterance is Positive, Improving, Neutral, Worsening, or Negative.

Overall emotion for a file may also be included in the top level JSON output. This value compares the emotion values in the first half of the transcript with the values in the second half.

Emotion detection is a licensed optional feature.

Setting emotion=true also enables sentiment analysis.

gender

false (default), true

Set gender=true to activate gender detection. For each utterance, Voci will attempt to determine if the speaker is male or female.

Gender Identification is a licensed optional feature.

sentiment

true, false

Sentiment is automatically enabled when emotion is enabled, but can be used independently of emotion.

When sentiment scoring is enabled, the ASR engine parses utterances for grammar; words that match certain grammatical models in those utterances are scored for sentiment. Detected sentiment is recorded in the JSON as sentimentex.

The emotion detection feature uses sentiment scores to determine if a given utterance is Positive, Improving, Neutral, Worsening, Negative, or Mixed (both Positive and Negative).

Unlike emotion, sentiment uses only linguistic information (words and phrases) to determine these values.

senti_list

filename , filename2...

The name(s) of the sentiment list(s) to be applied during transcription.

To use a custom sentiment rule with V‑Cloud, you must submit that rule to support@vocitec.com for integration.

To be used with senti_list, files specified must exist on the V‑Cloud server.

Learn more:

senti_rules

sentiment rule

Specifies a newline-escaped string that contains a set of manual sentiment rules. These rules do not require grammar parsing for the utterance to be scored. All words in an utterance are eligible for manual scoring with senti_rules.

Learn more: