sentiment-analysis | Sentiment analysis framework developed by CERTH | Predictive Analytics library
kandi X-RAY | sentiment-analysis Summary
kandi X-RAY | sentiment-analysis Summary
Sentiment analysis framework developed by CERTH. If you make use of this implementation for your research, please cite the following paper:.
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Top functions reviewed by kandi - BETA
- Trains training
- Get the combined representation of a file
- Get the feature - based representation
- Returns the text - based representation of the text
- Main method for testing purposes
- Re - orders the training data
- Gets the POS tag of a sample
- Pre - processing a string
- Fetches the abbreviations
- Gets a list of words with negative keywords
- Gets the list of positive words
- This method initialises the words filter
- Get the abbreviations
- Initialize the filter
- Get the complex attributes
- Get feature attributes
- Get the Bidi map of text attributes
- Get a list of all happy emoticons
- Get the sad emoticons list
- Initializes the classifiers
sentiment-analysis Key Features
sentiment-analysis Examples and Code Snippets
Community Discussions
Trending Discussions on sentiment-analysis
QUESTION
I'm testing the endpoint for /api/sentiment in postman and I'm not sure why I am getting the cannot POST error. I believe I'm passing the correct routes and the server is listening on port 8080. All the other endpoints run with no issue so I'm unsure what is causing the error here.
server.js file
...ANSWER
Answered 2022-Apr-09 at 12:04Shouldn't it be:
QUESTION
I am working on a CNN Sentiment analysis machine learning model which uses the IMDb dataset provided by the Torchtext library. On one of my lines of code
vocab = Vocab(counter, min_freq = 1, specials=('\', '\', '\', '\'))
I am getting a TypeError for the min_freq argument even though I am certain that it is one of the accepted arguments for the function. I am also getting UserWarning Lambda function is not supported for pickle, please use regular python function or functools partial instead. Full code
...ANSWER
Answered 2022-Apr-04 at 09:26As https://github.com/pytorch/text/issues/1445 mentioned, you should change "Vocab" to "vocab". I think they miss-type the legacy-to-new notebook.
correct code:
QUESTION
I am trying to a calculated list to serve as 2 additional columns in an existing csv, however I struggle with preparing them as 2 columns.
MWE:
...ANSWER
Answered 2022-Mar-31 at 05:37Could you try;
QUESTION
I was following this tutorial regarding Databricks. In te final section, when calling the Language and Sentiment API, the sentiment column always return "Couldn't Detect Language". I'm not familiar enough with Scala to solve this problem.
This is the piece of code i'm running (The same as the tutorial):
...ANSWER
Answered 2022-Mar-15 at 12:20Ok, error found. I was missing a character in the Cognitive Service's Endpoint.
QUESTION
I have fine-tuned my models with GPU but inferencing process is very slow, I think this is because inferencing uses CPU by default. Here is my inferencing code:
...ANSWER
Answered 2022-Feb-09 at 15:28You should transfer your input to CUDA as well before performing the inference:
QUESTION
I want to predict the sentiment of thousands of sentences using huggingface.
...ANSWER
Answered 2022-Jan-07 at 19:52Simply add tokenizer arguments when you init the pipeline.
QUESTION
I want to re-finetuned a transformer model but I get an unknown error when I tried to train the model. I can't change the "num_labels" on loading the model. So, I tried to change it manually
...ANSWER
Answered 2021-Dec-22 at 13:53So, There is a solution for this
Just add ignore_mismatched_sizes=True when loading the model as:
QUESTION
What's the straightforward way to distinguish between this two:
the movie received critical acclaimthe movie did not attain critical acclaim.
Seems to me 'sentiment analysis' of nlp could do it for me. So I'm using Textblob sentiment analysis. But both sentences' polarity is 0.0.
ANSWER
Answered 2021-Dec-12 at 18:18QUESTION
when i use the st.cache decorator to cash hugging-face transformer model i get
Unhashable TypeError
this is the code
...ANSWER
Answered 2021-Dec-08 at 13:02This worked for me:
QUESTION
I want to compare 2 column. If same will True if not same will False like this:
filtering lemmatization check [hello, world] [hello, world] True [grape, durian] [apple, grape] FalseThe output from my code is all False. But, the data actually is different. Why?
You can get my data github
...ANSWER
Answered 2021-Nov-29 at 13:47Here is difference between columns - in one column missing '' around strings, possible solution is convert both columns to lists, for comapre use Series.eq (working like ==):
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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No vulnerabilities reported
Install sentiment-analysis
You can use sentiment-analysis like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the sentiment-analysis component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .
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