Global Sentiment predictions are marked as Skipped(in ml_predictor_results) due to low confidence, resulting in sentiment not being populated on Case records - Support and Troubleshooting

Global Sentiment predictions are marked as Skipped(in ml_predictor_results) due to low confidence, resulting in sentiment not being populated on Case records Issue .ns-kb-css-body-editor-container { p { font-size: 12pt; font-family: Lato; color: var(--now-color--text-primary, #000000); } span { font-size: 12pt; font-family: Lato; color: var(--now-color--text-primary, #000000); } h2 { font-size: 24pt; font-family: Lato; color: var(--now-color--text-primary, black); } h3 { font-size: 18pt; font-family: Lato; color: var(--now-color--text-primary, black); } h4 { font-size: 14pt; font-family: Lato; color: var(--now-color--text-primary, black); } a { font-size: 12pt; font-family: Lato; color: var(--now-color--link-primary, #00718F); } a:hover { font-size: 12pt; color: var(--now-color--link-primary, #024F69); } a:target { font-size: 12pt; color: var(--now-color--link-primary, #032D42); } a:visited { font-size: 12pt; color: var(--now-color--link-primary, #00718f); } ul { font-size: 12pt; font-family: Lato; } li { font-size: 12pt; font-family: Lato; } img { display: ; max-width: ; width: ; height: ; } } After enabling the Global Sentiment solution ( ml_x_snc_global_global_sentiment ), some prediction records in the ml_predictor_results table are marked as Skipped, and the corresponding Case records do not receive a sentiment value.

Symptoms .ns-kb-css-body-editor-container { p { font-size: 12pt; font-family: Lato; color: var(--now-color--text-primary, #000000); } span { font-size: 12pt; font-family: Lato; color: var(--now-color--text-primary, #000000); } h2 { font-size: 24pt; font-family: Lato; color: var(--now-color--text-primary, black); } h3 { font-size: 18pt; font-family: Lato; color: var(--now-color--text-primary, black); } h4 { font-size: 14pt; font-family: Lato; color: var(--now-color--text-primary, black); } a { font-size: 12pt; font-family: Lato; color: var(--now-color--link-primary, #00718F); } a:hover { font-size: 12pt; color: var(--now-color--link-primary, #024F69); } a:target { font-size: 12pt; color: var(--now-color--link-primary, #032D42); } a:visited { font-size: 12pt; color: var(--now-color--link-primary, #00718f); } ul { font-size: 12pt; font-family: Lato; } li { font-size: 12pt; font-family: Lato; } img { display: ; max-width: ; width: ; height: ; } } Customers may observe one or more of the following:

A significant number of records in the ml_predictor_results table are marked as Skipped = true. The Predicted Output Value and Predicted Confidence fields are empty for skipped prediction records. The sentiment field is not populated on the associated Case records. Overall sentiment coverage is lower than expected. Release .ns-kb-css-body-editor-container { p { font-size: 12pt; font-family: Lato; color: var(--now-color--text-primary, #000000); } span { font-size: 12pt; font-family: Lato; color: var(--now-color--text-primary, #000000); } h2 { font-size: 24pt; font-family: Lato; color: var(--now-color--text-primary, black); } h3 { font-size: 18pt; font-family: Lato; color: var(--now-color--text-primary, black); } h4 { font-size: 14pt; font-family: Lato; color: var(--now-color--text-primary, black); } a { font-size: 12pt; font-family: Lato; color: var(--now-color--link-primary, #00718F); } a:hover { font-size: 12pt; color: var(--now-color--link-primary, #024F69); } a:target { font-size: 12pt; color: var(--now-color--link-primary, #032D42); } a:visited { font-size: 12pt; color: var(--now-color--link-primary, #00718f); } ul { font-size: 12pt; font-family: Lato; } li { font-size: 12pt; font-family: Lato; } img { display: ; max-width: ; width: ; height: ; } } All supported releases where the Global Sentiment solution ( ml_x_snc_global_global_sentiment ) is used.

Cause .ns-kb-css-body-editor-container { p { font-size: 12pt; font-family: Lato; color: var(--now-color--text-primary, #000000); } span { font-size: 12pt; font-family: Lato; color: var(--now-color--text-primary, #000000); } h2 { font-size: 24pt; font-family: Lato; color: var(--now-color--text-primary, black); } h3 { font-size: 18pt; font-family: Lato; color: var(--now-color--text-primary, black); } h4 { font-size: 14pt; font-family: Lato; color: var(--now-color--text-primary, black); } a { font-size: 12pt; font-family: Lato; color: var(--now-color--link-primary, #00718F); } a:hover { font-size: 12pt; color: var(--now-color--link-primary, #024F69); } a:target { font-size: 12pt; color: var(--now-color--link-primary, #032D42); } a:visited { font-size: 12pt; color: var(--now-color--link-primary, #00718f); } ul { font-size: 12pt; font-family: Lato; } li { font-size: 12pt; font-family: Lato; } img { display: ; max-width: ; width: ; height: ; } } This behavior is expected when the Global Sentiment model is unable to classify the input text with sufficient confidence.

The model evaluates the input text and calculates confidence scores for the Positive, Neutral, and Negative sentiment categories. A prediction is accepted only if the confidence score for a sentiment meets or exceeds its configured confidence threshold.

If none of the sentiment confidence scores meet the required threshold, the model returns an Unknown result. Consequently, the prediction is marked as Skipped, and no sentiment value is applied to the corresponding Case record.

Low-confidence predictions commonly occur when:

The input text is short and provides limited context. The text is neutral or ambiguous and does not clearly express a sentiment. The case conversations are primarily in a language other than English, as the out-of-box Global Sentiment model is optimized for English. Resolution .ns-kb-css-body-editor-container { p { font-size: 12pt; font-family: Lato; color: var(--now-color--text-primary, #000000); } span { font-size: 12pt; font-family: Lato; color: var(--now-color--text-primary, #000000); } h2 { font-size: 24pt; font-family: Lato; color: var(--now-color--text-primary, black); } h3 { font-size: 18pt; font-family: Lato; color: var(--now-color--text-primary, black); } h4 { font-size: 14pt; font-family: Lato; color: var(--now-color--text-primary, black); } a { font-size: 12pt; font-family: Lato; color: var(--now-color--link-primary, #00718F); } a:hover { font-size: 12pt; color: var(--now-color--link-primary, #024F69); } a:target { font-size: 12pt; color: var(--now-color--link-primary, #032D42); } a:visited { font-size: 12pt; color: var(--now-color--link-primary, #00718f); } ul { font-size: 12pt; font-family: Lato; } li { font-size: 12pt; font-family: Lato; } img { display: ; max-width: ; width: ; height: ; } } The Global Sentiment model uses the following default confidence thresholds internally:

Sentiment Default Threshold Positive 0.7 Neutral 0.5 Negative 0.7 These threshold values are built into the platform and, therefore, the corresponding System Properties are not created by default in the instance.

If you want to use different confidence thresholds, you can create the corresponding System Properties to override the built-in default values.

System Property Default Value Purpose glide.mlpredictor.option.cwf.sentiment_positive_threshold 0.7 Minimum confidence required to classify a prediction as Positive glide.mlpredictor.option.cwf.sentiment_neutral_threshold 0.5 Minimum confidence required to classify a prediction as Neutral glide.mlpredictor.option.cwf.sentiment_negative_threshold 0.7 Minimum confidence required to classify a prediction as Negative For example, if additional Neutral sentiment coverage is desired, create the following System Property:

Property Name

glide.mlpredictor.option.cwf.sentiment_neutral_threshold Example Value

0.35 With this override in place, the platform uses the configured value (0.35) instead of the built-in default (0.5) when evaluating Neutral sentiment predictions. As a result, more Neutral predictions may satisfy the confidence requirement and be applied to Case records.

Similarly, the Positive and Negative thresholds can be overridden by creating their respective System Properties with values that align with your organization's requirements.

After creating or modifying these properties, validate the updated thresholds in a non-production environment to determine the configuration that best suits your sentiment analysis requirements.