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Questions tagged [vader]

VADER (Valence Aware Dictionary and sEntiment Reasoner) is a python lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media.

VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media, and works well on texts from other domains. It is fully open-sourced under the MIT License.

Hosting is done on github.

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Python 3.7 AttributeError: 'list' object has no attribute 'split'

I am trying to do a sentiment analysis from a csv file where each row has a sentence. Reprex: print(your_list) [['Patience and Kindness and I know they truly love and care for animals, my dog also enjoys the events like seeing Santa and the Easter…
user11952178
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Sentiment analysis using Vader- AttributeError: 'float' object has no attribute 'encode'

import numpy as np import pandas as pd df=pd.read_excel('Finning2.xlsx',encoding='utf-8') import nltk nltk.download('vader_lexicon') from nltk.sentiment.vader import SentimentIntensityAnalyzer sid = SentimentIntensityAnalyzer() review =…
Mohamed Helmy
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Vader sentiment analysis

I'm using Vader in Python to perform sentiment analysis. Is there a way to analyze different languages than English (I need French in this case) If yes, how do I do it, or what do I need?
NTiberio
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VADER-Sentiment-Analysis toolkit and decoding to UTF-8

I'm trying out this awesome sentiment analysis toolkit for python called Vader (https://github.com/cjhutto/vaderSentiment#python-code-example). However, I'm not even able to run their examples, because of a decoding problem (?). I've tried the…
Solari
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Creating a progress bar for sentiment analysis in R

I am trying to do a sentiment analysis using the vader package in R. The vader package involves the vader_df() function to get sentiments for entire columns of data frames. I got a big data frame with approximately 3 million entries, where the…
wieco23
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how do i solve AttributeError: 'float' object has no attribute 'encode'

this is the code import pandas as pd import numpy as np import matplotlib.pyplot as plt import seaborn as sns plt.style.use('ggplot') import nltk df = pd.read_csv('/kaggle/input/starbucks-review-play-store/starbucksEN.csv',sep=",",…
Aristo Lie
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Vader Sentiment Analysis in R

I am using Vader Sentiment Analysis on Tweets for a project of mine with 3000 tweets. Everything is working fine when I run the sentiment for only 1 tweet. That gives me all the scores for that tweet but when I run the loop command for all the…
M. Talha Bin Asif
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Getting loop error in R with vader package

I am trying to run the code below but I am getting an error no loop for break/next, jumping to top level. The problem seems to be with vader_df, but I am not sure what is going wrong or how I can fix it. vader_df is supposed to take a vector of…
Sagehen_47
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New instance of a class contains older data given to an older instance

I'm trying to analyze some reviews using vader in python. I made an Analyzer class like so: class Analyzer: dataframe = None reviews = [] # other data def __init__(self, brand): self.dataframe = pd.read_csv(brand) #…
Matin Amani
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Using an average of VADER and textBlob's sentiment polarity gives me a more accurate result, why?

I have a manually labelled set of ~120K tweets. If I use VADER's compound score it only matches the manual labelling for ~24% of the records, textblob matches ~35% of the manually labelled record. If I take Vaders compound score and textblobs score…
July Jones
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How to label review having both positive and negative sentiment words

I have used vader library for labeling of amazon's reviews but it doesn't handle these types of reviews "No problems with it and does job well. Using it for Apple TV and works great. I would buy again no problem". This is positive sentence but the…
Amber Haroon
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NLTK Vader SentimentIntensityAnalyzer Bigram

For the VADER SentimentIntensityAnalyzer within Python, is there a way to add a bigram rule? I tried updating the lexicon with a two word input, but it did not change the polarity score. Thanks in advance! from vaderSentiment.vaderSentiment import…
Adrian Dolinay
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What pre-processing does VADER sentiment analysis use?

I read that VADER performs tokenization / lemmatization automatically when you use SentimentIntensityAnalyzer() but I cannot get a clear confirmation on their github page. I tried tokenize and lemmatize my input text anyways and the outputs…
Knovolt
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VaderSentiment: emoji analyzer does not work in Jupyter Notebook

I am trying to do some sentiment analysis on r/wallstreetbets content and would also like to use the meaning of emojis. Here is my code: from nltk.sentiment.vader import SentimentIntensityAnalyzer wsb_lingo = { "bullish": 4.0, "bearish":…
Viol1997
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How to print valence score for each lexicon in vader?

I am trying to print the valence score for each lexicon (word) in a sentence using vader, but I am getting confused in the process. I am able to sort the words in a sentence as positive, negative and neutral using vader. I want to print the valence…
k_d_11
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