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Analytics Table:M Y BANGLA
| Date | subscribers | views | videos | Estimated Revenue |
|---|---|---|---|---|
Jul 5, 2026 Jul 5 Sun | 8 -- | 268 -- | 7 -- | -- |
Jul 4, 2026 Jul 4 Sat | 8 -- | 268 -- | 7 -- | -- |
Jul 2, 2026 Jul 2 Thu | 8 -- | 268 -- | 7 -- | -- |
Jul 1, 2026 Jul 1 Wed | 8 -- | 268 -- | 7 -- | -- |
Jun 30, 2026 Jun 30 Tue | 8 -- | 268 -- | 7 -- | -- |
Jun 29, 2026 Jun 29 Mon | 8 -- | 268 -- | 7 -- | -- |
Jun 28, 2026 Jun 28 Sun | 8 -- | 268 -- | 7 -- | -- |
Jun 27, 2026 Jun 27 Sat | 8 -- | 268 -- | 7 -- | -- |
Jun 26, 2026 Jun 26 Fri | 8 -- | 268 -- | 7 -- | -- |
Jun 25, 2026 Jun 25 Thu | 8 -- | 268 -- | 7 -- | -- |
Jun 24, 2026 Jun 24 Wed | 8 -- | 268 -- | 7 -- | -- |
Jun 23, 2026 Jun 23 Tue | 8 -- | 268 -- | 7 -- | -- |
Jun 22, 2026 Jun 22 Mon | 8 -- | 268 -- | 7 -- | -- |
Jun 21, 2026 Jun 21 Sun | 8 -- | 268 -- | 7 -- | -- |
Jun 20, 2026 Jun 20 Sat | 8 -- | 268 -- | 7 -- | -- |
Jun 19, 2026 Jun 19 Fri | 8 -- | 268 -- | 7 -- | -- |
Jun 18, 2026 Jun 18 Thu | 8 -- | 268 -- | 7 -- | -- |
Jun 17, 2026 Jun 17 Wed | 8 -- | 268 -- | 7 -- | -- |
Jun 16, 2026 Jun 16 Tue | 8 -- | 268 -- | 7 -- | -- |
Jun 15, 2026 Jun 15 Mon | 8 -- | 268 -- | 7 -- | -- |
Jun 14, 2026 Jun 14 Sun | 8 -- | 268 -- | 7 -- | -- |
Jun 7, 2026 Jun 7 Sun | 8 -- | 268 -- | 7 -- | -- |
Jun 6, 2026 Jun 6 Sat | 8 -- | 268 -- | 7 -- | $0 - $1 |
| Daily Average | -- | -- | -- | -- |
| Weekly Average | -- | -- | -- | -- |
| Last 29 Days | -- | -- | -- | -- |
Income Estimates for M Y BANGLA
Based on M Y BANGLA's total view count of 268 views and industry-standard rates, this YouTube channel has generated an estimated total earning of $0 - $1 through ad revenue. Historical data is not yet available to calculate daily, weekly, or monthly averages.
About M Y BANGLA
Explore M Y BANGLA's YouTube presence with 8 subscribers and 7 videos. Experience the cumulative impact of 268 views across their engaging content.
, emotion analysis on blog texts has been carried out for a less privileged lan- guage like Bengali. Ekman’s six basic emotion types have been selected for reliable and semi automatic word level annotation. An automatic classifier has been applied for recognizing six basic emotion types for different words in a sentence. Application of different scoring strategies to identify sentence level emotion tag based on the acquired word level emotion constituents have produced satisfactory per- formance.
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