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# Task Name
Predicting the sentiment of given spoken utterance
## Task Objective
Sentiment analysis refers to classifying a given speech segment as having negative, neutral, or positive senti…
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I am running a sentiment analysis on a large corpus of tweets in R. VADER successfully returned sentiment scores for all but five tweets, which returned 'ERROR' in the word scores field. Upon inspecti…
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### Title of the resource
Sentiment Analysis with 'syuzhet' using R
### Resource type
External Resource
### Authors, editors and contributors
Jennifer Isasi, Maria José Afanador-Llach, Riva Quiro…
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Sentiment Analysis:
Using transformer-based models like BERT or DistilBERT for sentiment analysis is a good choice, especially considering their effectiveness in capturing contextual information. I…
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I love that you added news sentiment, but I can't use it without historic data to use for training a model. Ideally, I'd like to be able to get historic timestamped articles each with a sentiment scor…
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Hello,
I'm trying to override the AFINN scores for 2-grams, but it doesn't seem to work:
```
sentiment.analyze( 'This stuff is made up', { extras: { 'made up': -1 } } )
{ score: 0,
comparat…
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### Description
Extracting sentiment (polarity) and emotional category from text
### Tasks
- [ ] Sentiment analysis
- [ ] Emotional analysis
### Freeform Notes
_No response_
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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…
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### 1.3 sentiment analysis (10 points)
**C.** Add the four sentiment scores to the `doj_subset` dataframe to create a dataframe: `doj_subset_wscore`. Sort from highest neg to lowest neg score (so m…
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### Description
The sentiment analysis is fundamental and not specified towards the language used in GitHub issues. Most of the time it will not consider the context of a word which results in inaccu…