Sentiment Analysis

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Sentiment Analysis

Sentiment analysis is a computational method used to identify and categorize opinions expressed in a piece of text. Its primary goal is to determine the sentiment behind the text, which can be classified as positive, negative, or neutral. This process is essential for understanding emotions such as happiness, sadness, or anger, and it often employs natural language processing (NLP) techniques and machine learning algorithms to analyze large volumes of unstructured text data, such as social media posts, reviews, and survey responses ¹².

The applications of sentiment analysis are vast. Businesses utilize it to monitor brand reputation, gain insights from customer feedback, and tailor their products and services to meet customer needs. By automatically analyzing customer sentiments, companies can efficiently process feedback and make informed decisions based on public opinion ¹⁵.

Overall, sentiment analysis is a powerful tool that helps organizations navigate the complexities of customer emotions and opinions in today’s data-driven world.

Level Up Coding

In this article, we create a sentiment analysis tool with Bi-LSTM and trained on "IMDB movie review" dataset. Then after saving this model we use it to make a web app using streamlit

Sentiment Analysis

Analytics Vidhya

Sentiment analysis is the process of computationally identifying and categorizing opinions expressed in a piece of text, especially in order to determine whether the writer’s attitude towards a…

Twitter Sentiment Analysis

Analytics Vidhya

Sentiment analysis or opinion mining refers to natural language processing (NLP).It is the process of analyzing the text to determine the emotional tone they carry. In other words, it is used to…

Future of Sentiment Analysis

Analytics Vidhya

Sentiment analysis is simply the process of categorizing the sentiments underlying a text. It is such a simple task that it can also be done manually; simply read each piece of feedback and determine…...

Quick Introduction to Sentiment Analysis

Towards Data Science

Sentiment analysis is the automated process of determining whether a text expresses a positive, negative, or neutral opinion about a product or topic.

Sentiment Analysis, data processing

Analytics Vidhya

The technical intro into the Sentiment Analysis. In this article You will learn technical aspects. How to clean data. How to process them. And much more.

Sentiment Analysis: Building from the Ground Up

Analytics Vidhya

Sentiment analysis is the interpretation and classification of emotions (positive, negative, and neutral) within text data using text analysis techniques. Sentiment analysis allows businesses to…

Sentiment Analysis — Intro and Implementation

Towards Data Science

Sentiment Analysis — Intro and Implementation Sentiment analysis using NLTK, scikit-learn and TextBlob analyzing text to understand feelings, by DALL.E 2 Have you ever left an online review for a pro...

Sentiment Analysis: Introduction with a Simple Technical Example.

Analytics Vidhya

Sentiment analysis is the term used to study the general mood/feeling/ or sentiment of human language. It can also be applied to other fields (perhaps humpback whale mating songs) but we will only…

Sentiment Analysis using TextBlob

Analytics Vidhya

The algorithms of sentiment analysis principally specialize in process opinions, attitudes, and even emoticons in an exceedingly corpus of texts. The vary of established sentiments considerably…

Emotion Analysis

Analytics Vidhya

In some circumstances, sentiment analysis may fail to capture the true feelings of the customer. The technique of discovering and interpreting the underlying emotions portrayed in textual data is…

7 Steps to Better Sentiment Analysis

Towards AI

A blog about how to better improve your sentiment analysis. Photo by Domingo Alvarez E on Unsplash 1\. Build Your Knowledge Base Sentiment analysis is a difficult task. First, you have to build up a ...