Workspace
Settings
What this workspace monitors and where the data comes from.
Monitored brand
One workspace per client
CA Active
Canara Bank
Public Sector Banking
Data source
Prototype dataset
DatasetCanara Bank · 2,823 captured records
Records in use2,821
Earliest mention29 Jan 2012
Latest mention15 Sep 2026
Engagement figuresNot available in the source data
Live scrapingTo be connected
Platforms monitored
App StoreFacebookInstagramMeta AdsYouTube
Categories tracked
Brand / CampaignComplaintsCustomer ServiceDigital BankingFraud / ScamGeneralJobs / RecruitmentLoansNews / MediaOffers / PromotionsPayments / UPIProduct / Service
Topics detected
33 in this dataset
Account openingBanking app enquiryBranch service complaintBrand campaignBrand mentionBusiness loan enquiryCard servicesDeposits & KYCDigital onboardingExam & interview prepFake loan agentFinancial results & newsFraud alertFund transfer issueGeneral brand mentionGeneral complaintHelpline / contact enquiryHome loan enquiryJob enquiryJob vacancyLoan enquiryMedia coverageMobile banking issueNet banking issuePersonal loan enquiryPhishing / OTP fraudPositive customer experienceProduct enquiryPromotional offerRecruitment updateService enquiryThird-party promotionUPI issue
Alert thresholds
Applied to every incoming mention
High risk score55 and above
Medium risk score28 – 54
Fraud / scam wordingAlways high risk
Negative spike alertOn
Viral negative mention alertOn
Where each field comes from
Every field shown in the product, and how it was produced from the source file
| Shown as | Source field | How it is produced |
|---|---|---|
| Post | ad_description | Used as-is, trimmed for display only. |
| Original post link | source_url | Direct link to the post on Facebook, Instagram, YouTube, etc. |
| Platform | platform | Used as-is. |
| Account | sm_handler / channel_url / sub_publisher | Handle where present; for YouTube the channel handle is read from the channel link, with the channel name alongside it. |
| Account link | profile_url / channel_url | Opens the account's page, profile or channel on the platform. |
| Date | upload_date | The date the post was captured. |
| Hashtags | ad_description | Every #tag found in the post text. |
| Category | ad_description | Keyword match against 12 ORM categories, General as fallback. |
| Topic | ad_description + keyword_term | Most specific discussion inside the category. |
| Sentiment | ad_description | The whole post is read together: first-hand praise or complaint decides the tone, wording like 'not good' is flipped, and marketing, news or how-to phrasing such as 'best offer' or 'apply now' is not counted as praise. Anything without a clear opinion stays Neutral. |
| Emotion | ad_description | Closest emotion to the wording and sentiment. |
| Risk | ad_description | Fraud, scam and complaint wording scored 0-100. |
| Engagement / reach | not available | Likes, comments, shares and views are empty in the source file, so no engagement figure is shown. |
| AI Summary | the record itself | Written from the fields above, no external model. |