sentiment-analysis | Deploying sentiment analysis model with Sagemaker | Predictive Analytics library

 by   Physicist91 HTML Version: Current License: No License

kandi X-RAY | sentiment-analysis Summary

kandi X-RAY | sentiment-analysis Summary

sentiment-analysis is a HTML library typically used in Analytics, Predictive Analytics, Deep Learning, Pytorch, Tensorflow, Keras, Neural Network applications. sentiment-analysis has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

Sentiment Analysis of Movie Reviews using RNN on Amazon Sagemaker. Here I build a simple web app that interacts with a recurrent neural network (RNN) deployed on Amazon Sagemaker. The RNN is trained on dataset of movie reviews to predict the review sentiment given a user review. The API of the deployed RNN is also publicly accessible and is used by the web app to send data and retrieve predictions.
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              sentiment-analysis has a low active ecosystem.
              It has 3 star(s) with 0 fork(s). There are 1 watchers for this library.
              OutlinedDot
              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.

            kandi-Quality Quality

              sentiment-analysis has 0 bugs and 0 code smells.

            kandi-Security 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.

            kandi-License License

              sentiment-analysis does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

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              sentiment-analysis releases are not available. You will need to build from source code and install.
              It has 15033 lines of code, 13 functions and 7 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

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            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

            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

            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

            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:

            1. the movie received critical acclaim
            2. 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

            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.

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