Resource: Speech Sentiment Annotations

Reference Speech Sentiment Annotations
Date of Submission July 16, 2020, 10:26 p.m.
Status accepted
ISLRN 793-392-711-640-2
Resource Type Primary Text
Media Type Text
Language English
Format/MIME Type text/plain
Size 2290
Access Medium Web Download


Speech Sentiment Annotations was developed by Google Inc. It consists of sentiment labels (positive, negative, neutral) for approximately 49,500 utterances covering 140 hours of audio from Switchboard-1 Release 2 (LDC97S62).

Switchboard-1 Release 2 consists of approximately 260 hours of telephone speech from 543 speakers across the United States (302 male speakers, 241 female speakers). A computer-driven telephone collection platform paired two subjects for each conversation and provided a discussion topic. No two speakers conversed together more than once and no one speaker talked more than once on a given topic.


Switchboard speech files were segmented based on the start and end time of transcript turns. Annotators listened to the audio corresponding to each segment (utterance) and classified each into positive, negative or neutral categories based on the emotion and attitude of the speaker. Annotators provided a justification for positive and negative classifications using a flow chart. Further information about the methodology and annotation process is contained in the documentation accompanying this release.

The data is stored as a single UTF-8 encoded tab-delimited file. The annotation column in each row includes judgments from at least three annotators.

Version 1.0
Creator Eric Y. Chen , Zhiyun Lu , Hao Xu , Liangliang Cao , Yu Zhang , James Fan
Distributor Linguistic Data Consortium
Rights Holder Portions © 1997, 2020 Trustees of the University of Pennsylvania