LSTM based Deep RNN Architecture for Election Sentiment Analysis from Bengali Newspaper

Research article (2020 International Conference on Computational Performance Evaluation (ComPE), 2020) · cited 15× · AI/ML

academia openalex:W3089286658

Press Enter · cited answer in seconds

LSTM based Deep RNN Architecture for Election Sentiment Analysis from Bengali Newspaper

Summary

LSTM based Deep RNN Architecture for Election Sentiment Analysis from Bengali Newspaper is a scholarly article^[1].

Key Facts

LSTM based Deep RNN Architecture for Election Sentiment Analysis from Bengali Newspaper's instance of is recorded as scholarly article^[2].

⭐ Popularity Graph

0/100 long tail

Quick Facts

Instance of scholarly article

🔗 Connections

Authored by 3

Anmol Mahajan, Apurbalal Senapati, Baidya Nath Saha

← Author of 3

Anmol Mahajan, Apurbalal Senapati, Baidya Nath Saha

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

[2] ↑ LSTM based Deep RNN Architecture for Election Sentiment Analysis from Bengali Newspaper — instance of (P31): scholarly article. wikidata.org.

Class ancestry

[1] ↑ LSTM based Deep RNN Architecture for Election Sentiment Analysis from Bengali Newspaper is an instance of scholarly article (scholarly article) [P31, primary]. Wikidata. wikidata.org.

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA

4ort.xyz Knowledge Graph. (2026). LSTM based Deep RNN Architecture for Election Sentiment Analysis from Bengali Newspaper. Retrieved May 24, 2026, from https://4ort.xyz/entity/lstm-based-deep-rnn-architecture-for-election-sentiment-analysis-from-bengali-newspaper

MLA

“LSTM based Deep RNN Architecture for Election Sentiment Analysis from Bengali Newspaper.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/lstm-based-deep-rnn-architecture-for-election-sentiment-analysis-from-bengali-newspaper.

BibTeX

@misc{4ortxyz_lstm-based-deep-rnn-architecture-for-election-sentiment-analysis-from-bengali-newspaper_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{LSTM based Deep RNN Architecture for Election Sentiment Analysis from Bengali Newspaper}}, year = {2026}, url = {https://4ort.xyz/entity/lstm-based-deep-rnn-architecture-for-election-sentiment-analysis-from-bengali-newspaper}, note = {Accessed: 2026-05-24}}

LLM prompt

According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): LSTM based Deep RNN Architecture for Election Sentiment Analysis from Bengali Newspaper — https://4ort.xyz/entity/lstm-based-deep-rnn-architecture-for-election-sentiment-analysis-from-bengali-newspaper (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/lstm-based-deep-rnn-architecture-for-election-sentiment-analysis-from-bengali-newspaper · Last refreshed: May 24, 2026