An investigation into sentiment analysis and topic modelling techniques.
I have successfully created the LDA model and also made the all_topics dataframe but, when trying to generate results I am always getting a type conversion error "ValueError: You are trying to merge on int64 and object columns. If you wish to proceed you should use pd.concat" (added screenshot). I looked up online and converted the "Dominant_topic" column to integer and string but, it still threw the same error when run. Please help me resolve this issue. Thank you very much.
When running the count vectorizer, I am getting the following error message. Could you please help? Thank you!
TypeError Traceback (most recent call last)
in
7
8 for index, row in df.iterrows():
----> 9 vectors.append(", ".join(row[6]))
10
11 vectorised = vectorizer.fit_transform(vectors)
TypeError: can only join an iterable
It seems the Rake module has not been used in your code
While running the project locally I noticed a spelling error in Cell #44 which is causing an error -
df_topic_keywords.index = topicnames
should be
df_topic_keywords.index = topic_names
tmp_1['topic'] = tmp_1['topic'] + 1
When I run this line code, I receive bug:
Please help me! Thank you very much!
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