Sentiment Analysis

Sentiment Analysis is a way to evaluate spoken language in conference calls to determine if the expression is positive or negative.

All conference calls through Needl.ai are accompanied by sentiment analysis.

How to Use Sentiment Analysis: Step-by-Step Guide

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Navigate to the Exchange section at the bottom left. Click either the Indian Capital Market or the US Capital Market based on your preference.

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Click on the sources filter and choose Earning Call Transcript This will display the earning call reports for various companies.

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Once you find the company's Earning Call Transcript you're interested in, click on the three-dot icon located on the right side of the transcript. Select the Sentiment Analysis option from the dropdown menu.

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The sentiment analysis will open in a new tab, displaying the speaker, their statements, and the corresponding sentiment.

FAQ

How can I access Sentiment Analysis for a conference call?

To access Sentiment Analysis, navigate to the ‘Exchanges / Capital Markets’ section, select either ‘Indian Capital Markets’ or ‘US Capital Markets,’ and apply the ‘Earning Call Transcript’ filter. Once you've found the desired company's transcript, click on the three-dot icon and select the ‘Sentiment Analysis’ option from the dropdown menu.

Where can I find the Sentiment Analysis results in Needl.ai?

The results of Sentiment Analysis are displayed in a new tab after you select the option from the dropdown menu in an earning call transcript. This tab will show the speaker's statements along with their corresponding sentiments, categorized as positive, negative, or neutral.

Is Sentiment Analysis available for all conference calls in Needl.ai?

Yes, Sentiment Analysis is available for all conference calls that have been processed and transcribed in Needl.ai, specifically those under the ‘Earning Call Transcript’ filter.

Can I export the results of the Sentiment Analysis?

Yes, Needl.ai allows you to export Sentiment Analysis results in PDF format. Simply click the download button on the sentiment analysis report to obtain the results.

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