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# Building a baseline model for Malayalam Text Classification | KurianBenoy
Simple baseline model with Logistic Regression gave an accuracy close to 87-89% validation accuracy in a private dataset.
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I am planning to use [react-image-annotate][1] to annotate images by drawing polygons. But `react-image-annotate` by default only allows selecting a classification from a predefined list.
I wanted …
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# Text classification with tidy data principles | Julia Silge
I am an enthusiastic proponent of using tidy data principles for dealing with text data. This kind of approach offers a fluent and flexib…
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Hello,
I am new to fast text.
For training Fasttext for text classification (https://fasttext.cc/docs/en/supervised-tutorial.html) can I use wordvectors that are not english as defined in https://…
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Hi,
I wanted to use XLM for text classification task, basically for sentiment analysis for any language. I want to use English language data for training and then other languages data for prediction.…
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**Description**:
We currently have news full audio and corresponding news transcript. We would like to get the news text and audio data split into segments to train our STT and TTS model.
**Implemen…
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## Requirements
| **Framework** | **Input Source** | **Task** | **Variant** | **Device Type** | **Completed** | **Blocker** |
|---------------|------------------|--------------------…
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Hi there!
I´m planning to make a text classification template using scikit-learn. Just let me know whether this task adapts to the goal of the project.
Once I get the ok, I´ll start working on i…
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Dears,
I failed to run Llama-2-7b-chat-hf on NPU, please give me a hand.
1. I converted the mode by below command, and got two models,
a) optimum-cli export openvino --task text-generation -m Meta-…
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This issue is to implement the Naive Bayes algorithm in Python. The algorithm will be used to predict the probability of an event based on prior knowledge of conditions that might be related to the ev…