Sentiment-Analysis | Twitter Sentiment Analysis | Natural Language Processing library

by bensonruan PHP Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | Sentiment-Analysis Summary

Sentiment-Analysis is a PHP library typically used in Artificial Intelligence, Natural Language Processing applications. Sentiment-Analysis has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Twitter Sentiment Analysis

Support

Quality

Security

License

Reuse

Support

Sentiment-Analysis has a low active ecosystem.

It has 20 star(s) with 8 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

Sentiment-Analysis has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Sentiment-Analysis is current.

Quality

Sentiment-Analysis has 0 bugs and 0 code smells.

Security

Sentiment-Analysis has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

Sentiment-Analysis code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

Sentiment-Analysis is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

Sentiment-Analysis releases are not available. You will need to build from source code and install.

Installation instructions are not available. Examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi has reviewed Sentiment-Analysis and discovered the below as its top functions. This is intended to give you an instant insight into Sentiment-Analysis implemented functionality, and help decide if they suit your requirements.

Build OAuth .
Perform the request
Set the postfields .
Sets the GET field .
Build the Authorization header
Perform an OAuth request .
build base string
Get HTTP status code
Returns the getfield
Return postfields

Get all kandi verified functions for this library.

Sentiment-Analysis Key Features

No Key Features are available at this moment for Sentiment-Analysis.

Sentiment-Analysis Examples and Code Snippets

No Code Snippets are available at this moment for Sentiment-Analysis.

Community Discussions

Trending Discussions on Sentiment-Analysis

Cannot POST /api/sentiment

TorchText Vocab TypeError: Vocab.__init__() got an unexpected keyword argument 'min_freq'

Formatting List to Columns for CSV

Azure Databricks Sentiment Analysis

Transformers: How to use CUDA for inferencing?

RuntimeError: The expanded size of the tensor (585) must match the existing size (514) at non-singleton dimension 1

Change last layer on pretrained huggingface model

How to determine 'did' or 'did not' on something

Streamlit Unhashable TypeError when i use st.cache

Compare two column Pandas row per row

QUESTION

Cannot POST /api/sentiment

Asked 2022-Apr-09 at 12:40

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 12:04

Shouldn't it be:

Source https://stackoverflow.com/questions/71807848

QUESTION

TorchText Vocab TypeError: Vocab.__init__() got an unexpected keyword argument 'min_freq'

Asked 2022-Apr-04 at 09:26

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 09:26

As 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:

Source https://stackoverflow.com/questions/71652903

QUESTION

Formatting List to Columns for CSV

Asked 2022-Mar-31 at 05:37

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 05:37

Could you try;

Source https://stackoverflow.com/questions/71686844

QUESTION

Azure Databricks Sentiment Analysis

Asked 2022-Mar-15 at 12:20

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.

https://docs.microsoft.com/en-us/azure/databricks/scenarios/databricks-sentiment-analysis-cognitive-services

This is the piece of code i'm running (The same as the tutorial):

...

ANSWER

Answered 2022-Mar-15 at 12:20

Ok, error found. I was missing a character in the Cognitive Service's Endpoint.

Source https://stackoverflow.com/questions/71471054

QUESTION

Transformers: How to use CUDA for inferencing?

Asked 2022-Feb-09 at 15:28

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 15:28

You should transfer your input to CUDA as well before performing the inference:

Source https://stackoverflow.com/questions/71050697

QUESTION

RuntimeError: The expanded size of the tensor (585) must match the existing size (514) at non-singleton dimension 1

Asked 2022-Jan-07 at 19:52

I want to predict the sentiment of thousands of sentences using huggingface.

...

ANSWER

Answered 2022-Jan-07 at 19:52

Simply add tokenizer arguments when you init the pipeline.

Source https://stackoverflow.com/questions/70520725

QUESTION

Change last layer on pretrained huggingface model

Asked 2021-Dec-25 at 18:14

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 13:53

So, There is a solution for this Just add ignore_mismatched_sizes=True when loading the model as:

Source https://stackoverflow.com/questions/70449122

QUESTION

How to determine 'did' or 'did not' on something

Asked 2021-Dec-13 at 01:21

What's the straightforward way to distinguish between this two:

the movie received critical acclaim
the 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 18:18

It requires negation handling capabilities. For example, wink-nlp supports negation handling. You can checkout the code with this example at runkit.

Source https://stackoverflow.com/questions/70320166

QUESTION

Streamlit Unhashable TypeError when i use st.cache

Asked 2021-Dec-09 at 01:43

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 13:02

This worked for me:

Source https://stackoverflow.com/questions/70274841

QUESTION

Compare two column Pandas row per row

Asked 2021-Nov-29 at 13:47

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] False

The 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 13:47

Here 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 ==):

Source https://stackoverflow.com/questions/70155570

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install Sentiment-Analysis

You can download it from GitHub.
PHP requires the Visual C runtime (CRT). The Microsoft Visual C++ Redistributable for Visual Studio 2019 is suitable for all these PHP versions, see visualstudio.microsoft.com. You MUST download the x86 CRT for PHP x86 builds and the x64 CRT for PHP x64 builds. The CRT installer supports the /quiet and /norestart command-line switches, so you can also script it.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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