I am planning to use Google Prediction API for Sentiment Analysis. How can I generate the Traning model for this? Or where can I have any standard training model available for commercial use? I have already tried with the Sentiment Predictor provided in Prediction Gallery of Google Prediction API, but does not seem to work properly.
Training Model for Sentiment Analysis with Google Prdection API
1.3k Views Asked by user3143297 At
2
There are 2 best solutions below
Related Questions in SENTIMENT-ANALYSIS
- Naive Bayes Sentiment Analysis of Facebook Post
- Amazon Machine Learning for sentiment analysis
- keywords in NEGATIVE Sentiment using sentiment Analysis(stanfordNLP)
- Stanford Parser - Factored model and PCFG
- Lazy parsing with Stanford CoreNLP to get sentiment only of specific sentences
- How to capture iterated output variable into list for analysis
- How to separate text from twitter streaming JSON responses and run analysis on text with python?
- Word2Vec Sentiment Classification with R and H2O
- How to decode ascii from stream for analysis
- How to pass each row as an argument to R script from Tableau calculated field
- Is there way to influence AlchemyAPI sentiment analysis
- Function decode_short_URL from twitteR package not working
- How can I extract 2-4 words on each side of a specific term in R?
- Pre-processing before running sentiment analysis
- Why isn't my classifier predicting any positive classes?
Related Questions in TRAINING-DATA
- Predictionio evaluation fails with empty.maxBy exception and training with java.lang.OutOfMemoryError
- Torch Lua: Why is my gradient descent not optimizing the error?
- Training a new LatentSVMDetector Models
- PredictionIO train error tokens must not be empty
- Leave one out crossvalind in Matlab
- How to copy training data n times during classification?
- How to build OCR data for Android app with known layout and font
- Combining tensorflow inception models/graphs
- Tensorflow AlexNet accuracy does not increase during training for ILSVRC2012 data set
- CNN model why the data is too large?
- Cross-validating with two different algorithms on one data set
- Huge datasets in machine learning sklearn
- How will the Imputers work if all the values in a column is missing in input vector in sklearn
- wit.ai is not training new examples / training status stays "clean"
- How can I generate training data on the fly in TensorFlow?
Related Questions in GOOGLE-PREDICTION
- How to access Google Prediction API with Python?
- Why does this model fail?
- "TypeError: cannot instantiate ctype 'EVP_MD_CTX' of unknown size" while trying to build google prediction api
- Error setting up environment on Google Cloud Shell to use Cloud ML
- Do Google API keys work for Prediction API?
- Getting error on ML-Engine predict but local predict works fine
- Getting a PrivateKey object from a .p12 file in Java
- Training Model for Sentiment Analysis with Google Prdection API
- Google Prediction API Service Authentication in .NET
- Connecting to Prediction API from Google API Consol using service account
- Python Google Prediction example
- Get only the top 10 results of Google Prediction instead of all results
- Latest version of Google Prediction API on Google Apps Script please
- Using app script to pass input from .csv file in Google Storage to Prediction API
- How to automatic classification of app user reviews?
Trending Questions
- UIImageView Frame Doesn't Reflect Constraints
- Is it possible to use adb commands to click on a view by finding its ID?
- How to create a new web character symbol recognizable by html/javascript?
- Why isn't my CSS3 animation smooth in Google Chrome (but very smooth on other browsers)?
- Heap Gives Page Fault
- Connect ffmpeg to Visual Studio 2008
- Both Object- and ValueAnimator jumps when Duration is set above API LvL 24
- How to avoid default initialization of objects in std::vector?
- second argument of the command line arguments in a format other than char** argv or char* argv[]
- How to improve efficiency of algorithm which generates next lexicographic permutation?
- Navigating to the another actvity app getting crash in android
- How to read the particular message format in android and store in sqlite database?
- Resetting inventory status after order is cancelled
- Efficiently compute powers of X in SSE/AVX
- Insert into an external database using ajax and php : POST 500 (Internal Server Error)
Popular Questions
- How do I undo the most recent local commits in Git?
- How can I remove a specific item from an array in JavaScript?
- How do I delete a Git branch locally and remotely?
- Find all files containing a specific text (string) on Linux?
- How do I revert a Git repository to a previous commit?
- How do I create an HTML button that acts like a link?
- How do I check out a remote Git branch?
- How do I force "git pull" to overwrite local files?
- How do I list all files of a directory?
- How to check whether a string contains a substring in JavaScript?
- How do I redirect to another webpage?
- How can I iterate over rows in a Pandas DataFrame?
- How do I convert a String to an int in Java?
- Does Python have a string 'contains' substring method?
- How do I check if a string contains a specific word?
From my understanding, the "model" for the Google Prediction API is actually not a model, but a suite of models for regression as well as classification. That being said, it's not clear how the Prediction API decides what kind of regression or classification model is used when you present it with training data. You may want to look at how to train a model on the Google Prediction API if you haven't already done so.
If you're not happy with the results of the Prediction API, it might be an issue with your training data. You may want to think about adding more examples to the training file to see if the model comes up with better results. I don't know how many examples you used, but generally, the more you can add, the better.
However, if you want to look at creating one yourself, NLTK is a Python library that you can use to train your own model. Another Python library you can use is scikit-learn.
Hope this helps.