Sentiment Analysis

Course Topics

• Overview of Text Data

  # Overview of Text Data Text data is a crucial component in the field of sentiment analysis, as it provides the raw material from which insights and interpretations are derived. Understanding the nat...

• Transformers and BERT for Sentiment Analysis

  # Transformers and BERT for Sentiment Analysis ## Introduction In the realm of Natural Language Processing (NLP), sentiment analysis has evolved significantly with the advent of transformer architect...

• Privacy Concerns with Text Data

  # Privacy Concerns with Text Data In the age of big data, the collection and analysis of text data have become central to various fields, including sentiment analysis. However, with great power comes...

• Building a Sentiment Analysis Web Application

  # Building a Sentiment Analysis Web Application ## Introduction Sentiment analysis is a powerful tool that enables applications to determine the emotional tone behind a body of text. In this topic, w...

• Decision Trees and Random Forests

  # Decision Trees and Random Forests In the realm of sentiment analysis, **Decision Trees** and **Random Forests** are powerful supervised learning techniques that can be used for classification tasks...

• Removing Stop Words

  # Removing Stop Words In the realm of Natural Language Processing (NLP) and sentiment analysis, one crucial step in text preprocessing is the removal of stop words. Stop words are common words that a...

• Impact of AI on Sentiment Analysis

  # Impact of AI on Sentiment Analysis Sentiment analysis, the process of identifying and categorizing opinions expressed in a piece of text, has seen significant transformation due to advancements in ...

• What is Sentiment Analysis?

  # What is Sentiment Analysis? Sentiment Analysis, also known as Opinion Mining, is a natural language processing (NLP) technique that determines the emotional tone behind a series of words. This anal...

• Bag of Words Model

  # Bag of Words Model The Bag of Words (BoW) model is a fundamental feature extraction technique used in Natural Language Processing (NLP) and particularly in sentiment analysis. It transforms text in...

• Term Frequency-Inverse Document Frequency (TF-IDF)

  # Term Frequency-Inverse Document Frequency (TF-IDF) ## Introduction TF-IDF is a statistical measure used to evaluate the importance of a word in a document relative to a collection of documents (cor...

• N-grams and their Importance

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• Analyzing Product Reviews

  # Analyzing Product Reviews Product reviews are a rich source of data that can provide insights into customer sentiment, preferences, and behaviors. In this section, we'll explore how to analyze prod...

• Applications of Sentiment Analysis

  # Applications of Sentiment Analysis Sentiment analysis, a subfield of natural language processing (NLP), has gained immense popularity due to its ability to extract subjective information from textu...

• Long Short-Term Memory (LSTM) Networks

  # Long Short-Term Memory (LSTM) Networks Long Short-Term Memory networks, or LSTMs, are a type of recurrent neural network (RNN) designed to better capture long-term dependencies in sequential data. ...

• Handling Negations

  # Handling Negations In the realm of sentiment analysis, negations can significantly alter the meaning of a statement. For instance, the phrases "I love this movie" and "I do not love this movie" hav...

• Naive Bayes Classifier

  # Naive Bayes Classifier ## Introduction The Naive Bayes Classifier is a family of simple probabilistic classifiers based on applying Bayes' theorem with strong (naive) independence assumptions betwe...

• Sentiment Analysis on Social Media Data

  # Sentiment Analysis on Social Media Data Sentiment analysis is a crucial aspect of understanding public opinion, especially through social media platforms. With billions of users expressing their th...

• Cross-Validation Techniques

  # Cross-Validation Techniques In the realm of machine learning, particularly in sentiment analysis, evaluating the performance of a model is crucial. One of the most effective methods to ensure that ...

• Bias in Sentiment Analysis Models

  # Bias in Sentiment Analysis Models ## Introduction Sentiment analysis, a subfield of natural language processing (NLP), involves the use of algorithms to determine the emotional tone behind a body o...

• Support Vector Machines

  # Support Vector Machines (SVM) Support Vector Machines (SVM) are a powerful supervised learning model used primarily for classification tasks, including sentiment classification. SVMs are particular...

• And 14 more topics...