Remove tag spam-detection
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Introducing Vector Search on Rockset: How to run semantic search with OpenAI and Rockset

Rockset

We’re excited to introduce vector search on Rockset to power fast and efficient search experiences, personalization engines, fraud detection systems and more. Before vector search, search experiences primarily relied on keyword search, which frequently involved manually tagging data to identify and deliver relevant results.

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Natural Language Processing: A Guide to NLP Use Cases, Approaches, and Tools

AltexSoft

Sentiment analysis helps brands learn what the audience or employees think of their company or product, prioritize customer service tasks, and detect industry trends. Spam detection. ML-based spam detection technologies can filter out spam emails from authentic ones with minimum errors. Language detection.

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Document Classification With Machine Learning: Computer Vision, OCR, NLP, and Other Techniques

AltexSoft

Spam detection. Analyzing words in context, NLP-based classifiers can define spam phrases and count how often they occur in the text to tell if it’s a spam message. Google’s Gmail spam detector, for instance, employs NLP to find junk messages and drop them into a corresponding folder.

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Data Labeling in Machine Learning: Process, Types, and Best Practices

Knowledge Hut

Data Labeling is the process of assigning meaningful tags or annotations to raw data, typically in the form of text, images, audio, or video. For example, let us imagine we want to train a simple classifier that can detect spam emails in real time. For example, say you want to train a model to detect pedestrians in an image.

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Machine Learning NLP Text Classification Algorithms and Models

ProjectPro

In other words, it is the phenomenon of labeling the unstructured texts with their relevant tags that are predicted from a set of predefined categories. For example, text classification is used in filtering spam and non-spam emails. For instance, using SVM, you can create a classifier for detecting hate speech.

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15 Top Machine Learning Projects for Final Year Students

ProjectPro

Build a Sorting, Categorizing, and Tagging System You can create crowd-sourced software systems that allow categorizing, sorting, and tagging various forms of data (structured or unstructured). Libraries like OpenCV and SimpleITK help in image segmentation , image registration, and object detection. Source: Moneyexcel 4.

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15 NLP Projects Ideas for Beginners With Source Code for 2023

ProjectPro

You will also get to explore how Tokenization, lemmatization , and Parts-of-Speech tagging are implemented in Python. Using the NLP algorithms, email service providing systems can identify spam emails easily which helps their user base in saving time by avoiding unnecessary emails in their inbox.

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