How to use nltk sentence tokenizer in case of bulleted-data or listed data? <p>I am using nltk sentence tokenizer to fetch sentences of files.<br> But it fails terribly when there are bullets/listed data.</p> <p><a href="http://pastebin.com/6YA1JNzb" rel="nofollow">Example text</a></p> <p>Code I am using is: </p> <pre><code>dataFile = open(inputFile, 'r') fileContent = dataFile.read() fileContent = re.sub("\n+", " ", fileContent) sentences = nltk.sent_tokenize(fileContent) print(sentences) </code></pre> <p>I want the sentence tokenizer to give each bullet as a sentence.</p> <p>Can someone please help me here? Thanks! </p> <p><strong>Edit1</strong>:<br> Raw ppt sample: <a href="http://pastebin.com/dbwKCESg" rel="nofollow">http://pastebin.com/dbwKCESg</a><br> Processed ppt data: <a href="http://pastebin.com/0N64krKC" rel="nofollow">http://pastebin.com/0N64krKC</a></p> <p>I will recieve only the processed data file and need to sentence tokenize on the same.</p>