Assignments:

Assignment 1 & Assignment 2 [click Here]  [Last Date for Submission 20Dec24]

Book : 

1. Text Analytics with Python:  A Practical Real-World Approach to Gaining Actionable Insights from your Data

Experiments :

Lab 1  https://colab.research.google.com/drive/1RSxQliemjbVHG-Cnz6lgpCUV6_wRhcsf?usp=sharing

Lab 2  Text Mining

Lab 3 Sentiment Analysis

Youtube Link for Sentiment analysis code example

https://www.youtube.com/watch?v=QpzMWQvxXWk

Class assignment

1 For dataset 2, Do the EDA Analysis { Quick EDA analysis of Score}

ax = df['Score'].value_counts().sort_index()

ax.plot(kind='bar',title='Count of Reviews by Stars',figsize=(10, 5))

ax.set_xlabel('Review Stars')

plt.show()

Do the Tokenization of 50th record [nltk.word_tokenize(example)]

Do the Part of speech tagging of it [nltk.pos_tag(tokens)]

DO the NER of it [nltk.chunk.ne_chunk(tagged)]

DataSets

1. Tweet dataset US airline

2. Classify Amazon Reviews  https://www.kaggle.com/code/robikscube/sentiment-analysis-python-youtube-tutorial/notebook