In previous post Project Ideas from Deep Learning we discuss some project from deep learning applied on Images. In this post we discuss some interesting project ideas from the natural language processing.
1. Text Data Classification
If anyone give us a paragraph of text then we can easily decide from which area the given text belongs. For example:
Text Categories: cricket
Student can create their own data or use some public dataset. CMU provides a dataset containing 20,000 newsgroup message drawn from 20 newsgroup, the dataset contains 1000 document from each of the 20 newsgroups. Student can download the dataset from Newsgroup data.
2. Social Network profile Based Recommender System
Recommendation System are one of the most prominent applications of machine learning, and part of everyday life. Social Network profile is the mirror of the users like/dislike. We can use users profile data to recommend various product to the user.
3. Sentiment Analysis
Social Media platforms have become a very good medium to know how the receiving end behaves in response to product, service or any news.
People speak about things on social medial fearlessly. Some project based on sentiment analysis can be:
- Computing Customer Satisfaction
- Product Review Classification
- Emotion (like anger, surprise, disgust, joy, sadness trust) detection from particular news.
- Analyze the sentiment flow across the mann ki baat speeches of our PM to find out if there is a sentiment pattern across all his speeches.
- Opinion Mining
4. Language Identification from Text Document
Automatic language detection is the first step toward achieving a variety of task like detecting the source language for machine translation, improving the search relevancy by personalizing the search results according to the query language.
We can use recurrent neural network for automatic language identification.
This article is contributed by Ram Kripal. If you like eLgo Academy and would like to contribute, you can mail your article to firstname.lastname@example.org. See your article appearing on the eLgo Academy page and help other Geeks. Please write comments if you find anything incorrect, or you want to share more information about the topic discussed above.