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Scraping IMDB Reviews in Python using Selenium

Analytics Vidhya

The post Scraping IMDB Reviews in Python using Selenium appeared first on Analytics Vidhya. Introduction Today, Artificial Intelligence and Machine Learning have wide applications across all domains for several problem statements like Speech Recognition, understanding customer sentiment towards a product, etc. Web […].

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Restaurant Reviews Analysis Model Based on ML Algorithms

Analytics Vidhya

Table of Contents Introduction Working with dataset Import Count Vectorizer Import Support Vector Classifier Using Pipeline Save the model Prediction of new reviews using the model Conclusion Introduction In this article, we will be dealing with the Restaurant reviews dataset. In this dataset, there are reviews […].

Modeling 316
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Sentiment Analysis of IMDB Reviews with NLP

Analytics Vidhya

The post Sentiment Analysis of IMDB Reviews with NLP appeared first on Analytics Vidhya. This article was published as a part of the Data Science Blogathon. Source – Insofe […].

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Creating a Movie Reviews Classifier Using TF-IDF in Python

Analytics Vidhya

The post Creating a Movie Reviews Classifier Using TF-IDF in Python appeared first on Analytics Vidhya. An important application of Natural Language Processing is text classification and text analytics. For this purpose, we need to create a classifier. But, the problem that lies in dealing with text data is that computers […].

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Outrun Your Competition: Best Practices for Accelerating Sales Processes

Slow-moving compliance reviews. Longer sales cycles. Larger buying committees. Every go-to-market team knows the frustrations that come from a drawn-out sales process. How can you speed it up? By building a modern GTM motion that uses data, automation, and proven best practices to unlock insights, engage customers, and win faster.

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Fine-Grained Sentiment Analysis of Smartphone Review

Analytics Vidhya

The post Fine-Grained Sentiment Analysis of Smartphone Review appeared first on Analytics Vidhya. Introduction Source Sentiment Analysis or opinion mining is the analysis of emotions behind the words by using Natural Language Processing and Machine Learning.

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Amazon Reviews Analysis Using Vader, RoBERTa, and NLTK

Analytics Vidhya

These models are built upon training […] The post Amazon Reviews Analysis Using Vader, RoBERTa, and NLTK appeared first on Analytics Vidhya. Yeah, it’s a joke that google assistant gave me when I asked her to tell a joke. Do you ever think about how these assistants work and how they can give us such replies?

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How Intent Data Helps Marketers Convert A-List Accounts

By tracking buyers’ digital footprints and online activity, such as website visits, product reviews, and spikes in content consumption, you can engage prospects with a message that really resonates. Without these insights, marketing campaigns can feel more like guesswork, with high investment and little return.

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ABCs of Data Normalization for B2B Marketers

In this eBook, we’ll break down the ins and outs of data normalization and review why it’s so critical for your marketing strategies and goals! At its core, data normalization is the process of creating context within your marketing database by grouping similar values into one common value. Why is this so essential?

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Digitizing Logistics: Harness the Power of Data in 4 Steps

Reviewing, reporting, and refining for better results. Learn how to carry out a data-driven demand gen strategy by: Nailing down your ideal customer profile (ICP). Leveraging intent data. Personalizing messages to your priority accounts.

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12 Plays to Kickstart Your Recruitment Process

According to Harvard Business Review, the COVID-19 pandemic exacerbated seismic shifts that were already rocking the talent market. That means placing the right people in the right roles can be the difference between your business growing or stagnating — and the competition is getting fierce.

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Reaching Unreachable Candidates

Speaker: Patrick Dempsey and Andrew Erpelding of ZoomInfo

Export results: Easily export candidate data (including contact info) to Excel, shared with colleagues to review or upload in bulk to a recruiter's applicant tracking system. Candidate and company profiles: Preview and expand search results to find a candidate's job history and career experience or a company's details.

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Best Practices for a Marketing Database Cleanse

This buyers guide will cover: Review of important terminology, metrics, and pricing models related to database management projects. Download ZoomInfo’s latest data-driven eBook aimed to help marketing leaders understand the best practices around choosing a B2B contact data provider.

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The Role of Artificial Intelligence in Pandemic Response: Lessons Learned From COVID-19

This whitepaper reviews lessons learned from applying AI to the pandemic’s response efforts, and insights to mitigating the next pandemic. Download this whitepaper to learn about: Development of AI standards for pandemic models that will be used in future pandemic responses.

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Building Product to Enhance Customer Support: The Key to Customer Retention in an E-commerce Business

Speaker: Bhavana Angadi, Senior Product Manager at Hopscotch (Demand & Growth) | Former Product Manager at Bigbasket

Being able to gracefully answer your customer in a timely and supportive way will bring more positive reviews, new customers, and increase retention and growth. The first and most important factor driving retention is how you handle customers when they have a query, request, or a complaint.