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Research and find a suitable base language model.
_Examples:_
- FinBert
- Roberta
- Llama 3.1
- Phi
**Resources to check:**
https://ollama.com/blog
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- https://stanfordnlp.github.io/CoreNLP/
- https://blog.openshift.com/day-20-stanford-corenlp-performing-sentiment-analysis-of-twitter-using-java/
- https://cloud.google.com/natural-language/docs/…
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# about this paper
Author: Yili Wang, Kyung Tae Kim, ByungJun Lee, Hee Yong Youn
Link: https://link.springer.com/content/pdf/10.1186%2Fs13673-018-0140-y.pdf
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品詞タグによるタグ済み訓練データセットの識別可能性や単語の依存性はクラ…
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The scope of the task is to detect some patterns within each class of the dataset, trying to work on the explainability of the models that will be later developed. Approaches:
- class imbalance probl…
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Hi,
Thank you for the tutorial. It is very helpful, specifically, for a newbie like me.
I am trying to perform sentiment analysis using the NRC lexicon on Twitter data however when I use get_nrc_sen…
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A sentiment analyzer learns about various sentiments behind a content through machine learning and predicts the same using AI. By creating an ML system that would analyze the sentiment behind texts, o…
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Hi,
I am trying to perform sentiment analysis using the NRC lexicon on Twitter data however when I use get_nrc_sentiment it takes too long to compute. I do have a huge dataset.
How can I reduce t…
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_(NOTE: authors have waived the blinded option for their names)_
# Social Media Analytics: Twitter Users Responses to Financial Events
https://github.com/researchart/swan17/blob/master/pdf/bamzi…
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Need to use online tools to create machine learning model for the twitter sentiment analysis. Will have to brush up on tensor-flow or PyTorch, and then make a decision on which tool we are going to be…
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the following pages redirect to the old page:
https://developer.ibm.com/clouddataservices2/start-developing-with-spark-and-notebooks
https://developer.ibm.com/clouddataservices2/sentiment-analysis-o…