mlsanityData to 7 Oct 2026

BB_twtr at SemEval-2017 Task 4: Twitter Sentiment Analysis with CNNs and LSTMs

arXiv 1704.06125 ↗First posted 20 Apr 2017cs.CL stat.MLcited by 16

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Abstract (arXiv)

In this paper we describe our attempt at producing a state-of-the-art Twitter sentiment classifier using Convolutional Neural Networks (CNNs) and Long Short Term Memory (LSTMs) networks. Our system leverages a large amount of unlabeled data to pre-train word embeddings. We then use a subset of the unlabeled data to fine tune the embeddings using distant supervision. The final CNNs and LSTMs are trained on the SemEval-2017 Twitter dataset where the embeddings are fined tuned again. To boost performances we ensemble several CNNs and LSTMs together. Our approach achieved first rank on all of the five English subtasks amongst 40 teams.

Key facts. Cited by 16 papers in the map (data through 7 Oct 2026). First posted on arXiv 20 Apr 2017.

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Citing papers per year: 2021: 4; 2022: 2; 2023: 5; 2024: 4; 2025: 1.

16 papers.

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  1. 2023SentimentGPT: Exploiting GPT for Advanced Sentiment Analysis and its Departure from Current Machine Learningcited by 38
  2. 2024A Closer Look at Classification Evaluation Metrics and a Critical Reflection of Common Evaluation Practicecited by 26
  3. 2021Are the Multilingual Models Better? Improving Czech Sentiment with Transformerscited by 7
  4. 2021SentimentArcs: A Novel Method for Self-Supervised Sentiment Analysis of Time Series Shows SOTA Transformers Can Struggle Finding Narrative Arcscited by 4
  5. 2021How Will Your Tweet Be Received? Predicting the Sentiment Polarity of Tweet Repliescited by 3
  6. 2023A Review of Hybrid and Ensemble in Deep Learning for Natural Language Processingcited by 3
  7. 2021A generalized quadratic loss for SVM and Deep Neural Networkscited by 2
  8. 2024M2SA: Multimodal and Multilingual Model for Sentiment Analysis of Tweetscited by 2
  9. 2022Retrieving Users' Opinions on Social Media with Multimodal Aspect-Based Sentiment Analysiscited by 1
  10. 2024Text Classification Based on Knowledge Graphs and Improved Attention Mechanismcited by 1
  11. 2022Utilizing Out-Domain Datasets to Enhance Multi-Task Citation Analysiscited by 0
  12. 2023XAI in Computational Linguistics: Understanding Political Leanings in the Slovenian Parliamentcited by 0
4 more
  1. 2023Detection of depression on social networks using transformers and ensemblescited by 0
  2. 2023Vulgar Remarks Detection in Chittagonian Dialect of Banglacited by 0
  3. 2024SemEval-2017 Task 4: Sentiment Analysis in Twitter using BERTcited by 0
  4. 2025Language-Independent Sentiment Labelling with Distant Supervision: A Case Study for English, Sepedi and Setswanacited by 0