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URL: http://arxiv.org/abs/2006.00206v1
> Understanding the sentiment of a comment from a video or an image is an essential task in many applications. Sentiment analysis of a text can be useful for va…
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Hello there,
I am using this great package in particular for the sentiment/polarity function. I get that this give a score based on how good/bad the **adverbs** are in a sentence, but where can I g…
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Create a list of the names and papers of the methods we use for
* sentiment polarity score
* emotion detection
* common noun phrases
With a view to answering the likely audience question: how is…
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**Paper**
Character-level Convolutional Networks for Text Classification
**Introduction**
In the realm of text classification, most models have considered the words as the building blocks. This r…
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Is any information available such as publication or corpus used for training?
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Hi Carlo,
I have keep trying to deploy the repo.
And just curious,
Are we only using kafka save the news stream data so far, but not trying to train the network based on news data.
Due to t…
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Hello,
I am using the French extension to textblob, the textblob-fr available on github here: https://github.com/sloria/textblob-fr.
I am interested in calculating the sentiment polarity and sub…
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### 1.3 sentiment analysis (10 points)
Sentiment analysis section of this script: [https://github.com/rebeccajohnson88/PPOL564_slides_activities/blob/main/activities/fall_22/solutions/08_textasdata…
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Hi @yoonkim,
Thanks a lot for the code and useful comments. I have one questions about word embedding after training process in non-static mode. Is there a way to export the back-propagated word w…
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This project focuses on rating a sentence input as overall positive, negative or neutral based on the sentiment scores. VADER( Valence Aware Dictionary for Sentiment Reasoning) is heavily used in thi…