<jupyter_start><jupyter_text>`Note:` All assignment should be done inside the notebook (Double tap on each of this text to edit).  `Question 1`: Write your full name and your    Matriculation number  `Question 2`: What do you understand by natural language processing ?  `Question 3`: List some of the applications of natural language processing  `Question 4`: What are some of the challenges of NLP?  `Question 5`: Using some of the string operations learnt from this weeks topic (like: `set(), istitle(), split(), replace(), etc.`) Declear 4 different strings (sentences) and apply the functions/methods. >>>>  Have a wonderful week ahead.  Question 1 EDEMA UKUNORITSEMOFE 17100310862  Question 2 Natural language processing is a branch of artificial intelligence that deals with the understanding, manipulation and interaction between computers and human or natural language.  Question 3 Analyse social media trends and posts language translator Chatsbots Survey Analysis Targeted Advertising  Voice Assistants Hiring and Recruitments voice to text  Question 4 Ambiguity Synonyms Irony and sarcasm Process, storage and maintenance Domain specific language  Colloquialisms and slang Errors in text or speech  Question 5<jupyter_code>text1 = 'Edemadide means Dark skinned Gentleman' 
text1
text2 = text1.split(' ')
text2
[w for w in text2 if w.istitle()]
len(text2)
text3 = 'edema'

text4 = text3.split('e')
text4
'e'.join(text4)
text5 = 'Edemadiden means Light skinned Gentlemen'

text6 = text5.split(' ')
text6
[w for w in text2 if len(w) < 5]
text7 = 'Most itsekiri names are unisex which means that they can be used by both genders'
text7
text8 = text7.split(' ')
text8
[w for w in text8 if w == 'itsekiri' or w =='genders']<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.07163160886867538, 'fraction_numerical': 0.026151222285389426, 'mean_word_length': 5.132404181184669, 'pattern_counts': {'":': 0, '<': 6, '<?xml version=': 0, '>': 9, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'chain_length': '1', 'dir': 'jupyter-structured-clean-dedup', 'id': '264516', 'license': 'MIT', 'n_tokens_mistral': 525, 'n_tokens_neox': 488, 'n_words': 241, 'path': 'Assignment (Week 1 and 2).ipynb', 'repo_name': 'ukunoritsemofe-edema/ISM416', 'size': '1759'}