Comments (5)
Just use NLTK can help this problem. or you may want to use something like text = str(text.encode('utf-8'))
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Thanks! The new update (with new pip install) has better compatibility support for Python 3, which solves many of the encoding/decoding issues.
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As I described in below question;
https://stackoverflow.com/questions/46395206/vader-is-throwing-unicodedecodeerror-on-api-init
I get UnicodeDecodeError when calling the API initializer.
I am using the latest pip version of the library on Python 3.
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i'm also getting the same error with Python3
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I am using docker to run the vaderSentiment:
python: 3.6, pip: 9.0.1 (latest), ubuntu: 16.04, but I still get the same error. Anyone has a good suggestion?
Dockerfile:
FROM ubuntu:16.04
RUN apt-get update -y
RUN apt-get install -y software-properties-common vim
RUN add-apt-repository ppa:jonathonf/python-3.6
RUN apt-get update
RUN apt-get install -y build-essential python3.6 python3.6-dev python3-pip python3.6-venv
RUN apt-get install -y nginx supervisor gcc g++
update pip
RUN python3.6 -m pip install pip --upgrade
#RUN python3.6 -m pip install wheel
Setup flask application
RUN mkdir -p /deploy/app
COPY app /deploy/app
RUN python3.6 -m pip install raderSentiment==2.5
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Related Issues (20)
- Dictionary contains phrases like "fed up" that will never hit because of how the sentence is tokenized HOT 1
- Is NLP still required when using VADER?
- vaderSentiment data output in a different order than specified in the docs
- Wrong weight assigned for hashtags with capitals
- Doubt about threshold values used in VADER categorization
- is this thing still alive?
- incorrect result while running on large dataset HOT 2
- Demo None Type not Iterable HOT 2
- Adding Turkish words HOT 2
- help with adding values to vader_lexicon.txt HOT 1
- Download additional DATASETS AND TESTING RESOURCES mentioned in README HOT 3
- Total dataset is decreasing after processed by VADER
- VADER can't parse the word 'bad ass'? HOT 2
- Positive score always 0? HOT 2
- `SPECIAL_CASES` do not work HOT 3
- Support for new Emojis
- list index out of range error persists... HOT 2
- Supporting Aspect Based sentiment analysis
- Add Julia Fork Link To ReadMe
- the sentimentIntensityAnalyzer VADER is giving results only on emojicon logic and NOT text HOT 1
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