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from my recent video on phone tracking I made it absolutely clear that big Tech is surveilling you spying on you recording a reaction then using that data to pigeonhole you into cohorts so information you see can be manipulated then they have a belief map that pinpoints every user so they know whos thinking what where exactly very powerful and very dangerous information to be in the hands of some powerful corporations especially those In Cahoots with the FBI and this is making many many of you angry because you thought this was a free country one person responded by strongly suggesting that big Tech should bring it on track all you want since he wasnt going to hide anything he said hell post his name and address too but his opinions will be provided publicly his voice will be heard nothing in what I teach suggests that we should be turned into a passive cowering populace this aggressive response by this person to the systemic abuse of our freedoms by big Tech is commendable but the

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How do you classify text in deep learning?

Classify Text Data Using Deep Learning Import and preprocess the data. Convert the words to numeric sequences using a word encoding. Create and train an LSTM network with a word embedding layer. Classify new text data using the trained LSTM network.

What is the meaning of text classification?

More formally, text classification is an analytical process that takes any text document as input and assigns a label (or classification) from a predetermined set of class labels.

What are real life examples of classification?

A common example of classification comes with detecting spam emails. To write a program to filter out spam emails, a computer programmer can train a machine learning algorithm with a set of spam-like emails labelled as spam and regular emails labelled as not-spam.

How do you classify text in a category in Python?

Text classification is one of the important task in supervised machine learning (ML). Step 1: Importing Libraries. Step 2: Loading the data set EDA. Step 3: Text Pre-Processing. Step 4: Extracting vectors from text (Vectorization)

What are some examples of classification text?

Some examples of text classification are: Understanding audience sentiment from social media, Detection of spam and non-spam emails, Auto tagging of customer queries, and. Categorization of news articles into defined topics.

How do you categorize comments?

The process of comment categorization gives the reviewer the opportunity to confirm, augment, refine, and apply comments to the most appropriate category(ies) and weight the comment by Priority (High, General, Low) and Type (Positive, Neutral, Negative).

How do you use Caplena?

Identify relevant themes through automated topic discovery, industry templates and/or your preferences. Categorize limitless rows of verbatim responses into the identified topics. Optionally review a couple of rows to fine-tune the AI. Create interactive charts and easily share them through customizable dashboards.

What is an example of classification text?

Some Examples of Text Classification: Sentiment Analysis. Language Detection. Fraud Profanity Online Abuse Detection.

What are the classification of texts?

Text classification also known as text tagging or text categorization is the process of categorizing text into organized groups. By using Natural Language Processing (NLP), text classifiers can automatically analyze text and then assign a set of pre-defined tags or categories based on its content.

Which one is an example of classification words used in paragraph writing?

They can also be classified by their role in the lives of their masters and the work they do. For example, a dog might be a family pet, a working dog, a show dog, or a hunting dog. In many cases, dogs are defined both by their breed and their role. For example, a dog could be a beagle that is a family pet.

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